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Tytuł:
External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research
Autorzy:
Lin KJ
Rosenthal GE
Murphy SN
Mandl KD
Jin Y
Glynn RJ
Schneeweiss S
Pokaż więcej
Temat:
electronic medical records
data linkage
comparative effectiveness research
information bias
continuity
external validation
Infectious and parasitic diseases
RC109-216
Źródło:
Clinical Epidemiology, Vol Volume 12, Pp 133-141 (2020)
Opis pliku:
electronic resource
Relacje:
https://www.dovepress.com/external-validation-of-an-algorithm-to-identify-patients-with-high-dat-peer-reviewed-article-CLEP; https://doaj.org/toc/1179-1349
Dostęp URL:
https://doaj.org/article/e6cde278fe7d4c01bb71b9d076901f87  Link otwiera się w nowym oknie
Czasopismo naukowe
Szczegóły
Tytuł:
Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study.
Autorzy:
Klann JG; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Strasser ZH; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Hutch MR; Department of Preventive Medicine, Northwestern University, Chicago, IL, United States.
Kennedy CJ; Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
Marwaha JS; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.
Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.
Pfaff AC; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Estiri H; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
South AM; Section of Nephrology, Department of Pediatrics, Brenner Children's, Wake Forest School of Medicine, Winston Salem, NC, United States.
Weber GM; see Acknowledgments, .
Yuan W; see Acknowledgments, .
Avillach P; see Acknowledgments, .
Wagholikar KB; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Luo Y; Department of Preventive Medicine, Northwestern University, Chicago, IL, United States.
Omenn GS; Center for Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States.
Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.
Holmes JH; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Brat GA; see Acknowledgments, .
Murphy SN; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Pokaż więcej
Corporate Authors:
Consortium for Clinical Characterization of COVID-19 by EHR (4CE); see Acknowledgments, .
Źródło:
Journal of medical Internet research [J Med Internet Res] 2022 May 18; Vol. 24 (5), pp. e37931. Date of Electronic Publication: 2022 May 18.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
COVID-19*/diagnosis
COVID-19*/epidemiology
SARS-CoV-2*
Electronic Health Records ; Hospitalization ; Humans ; Retrospective Studies
Czasopismo naukowe
Pełny tekstSzczegóły
Tytuł:
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.
Autorzy:
Yu J; Center for Health Information Partnerships (CHIP), Northwestern University Feinberg School of Medicine, 625 N. Michigan Ave, Suite. 1500, Chicago, IL, 60611, USA. .
Pacheco JA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Ghosh AS; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Luo Y; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Weng C; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Shang N; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Benoit B; Research IS and Computing, Massachusetts General Hospital Brigham, Somerville, MA, USA.
Carrell DS; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Carroll RJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Dikilitas O; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Freimuth RR; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Gainer VS; Research IS and Computing, Massachusetts General Hospital Brigham, Somerville, MA, USA.
Hakonarson H; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Hripcsak G; Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Kullo IJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Mentch F; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Murphy SN; Research IS and Computing, Massachusetts General Hospital Brigham, Somerville, MA, USA.
Peissig PL; Biomedical Informatics Research Center, Marshfield Clinic Research Institute, Marshfield, WI, USA.
Ramirez AH; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Walton N; Intermountain Precision Genomics, Intermountain Healthcare, St. George, UT, USA.
Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Rasmussen LV; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2022 Jan 28; Vol. 22 (1), pp. 23. Date of Electronic Publication: 2022 Jan 28.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Algorithms*
Electronic Health Records*
Genomics ; Humans ; Knowledge Bases ; Phenotype
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Evolving phenotypes of non-hospitalized patients that indicate long COVID.
Autorzy:
Estiri H; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02114, USA. .; Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA. .
Strasser ZH; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02114, USA.; Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Semenov YR; Department of Dermatology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Patel CJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Murphy SN; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02114, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.; Research Information Science and Computing, Mass General Brigham, Boston, MA, USA.
Pokaż więcej
Corporate Authors:
Consortium for Characterization of COVID-19 by EHR (4CE)
Źródło:
BMC medicine [BMC Med] 2021 Sep 27; Vol. 19 (1), pp. 249. Date of Electronic Publication: 2021 Sep 27.
Typ publikacji:
Journal Article
MeSH Terms:
COVID-19*/complications
COVID-19*/diagnosis
Humans ; Phenotype ; Retrospective Studies ; Post-Acute COVID-19 Syndrome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Hypertension prevalence in the All of Us Research Program among groups traditionally underrepresented in medical research.
Autorzy:
Chandler PD; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .
Clark CR; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Zhou G; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Noel NL; Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Achilike C; Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Mendez L; Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Ramirez AH; Vanderbilt University Medical Center, Nashville, TN, USA.
Loperena-Cortes R; Vanderbilt University Medical Center, Nashville, TN, USA.
Mayo K; Vanderbilt University Medical Center, Nashville, TN, USA.
Cohn E; Hunter College, New York, NY, USA.
Ohno-Machado L; University of California, San Diego, CA, USA.
Boerwinkle E; University of Texas Health Science Center School of Public Health, Houston, TX, USA.
Cicek M; Mayo Clinic, Rochester, MN, USA.
Qian J; Vanderbilt University Medical Center, Nashville, TN, USA.
Schully S; National Institutes of Health, Bethesda, MD, USA.
Ratsimbazafy F; Vanderbilt University Medical Center, Nashville, TN, USA.
Mockrin S; Life Sciences Division, Leidos, Inc, Frederick, MD, USA.
Gebo K; Johns Hopkins University, Baltimore, MD, USA.
Dedier JJ; Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Murphy SN; Research Information Science and Computing, Mass General Brigham, Boston, MA, USA.
Smoller JW; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Karlson EW; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
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Corporate Authors:
All of Us Research Program Investigators
Źródło:
Scientific reports [Sci Rep] 2021 Jun 22; Vol. 11 (1), pp. 12849. Date of Electronic Publication: 2021 Jun 22.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Biomedical Research*
Minority Groups*
Hypertension/*epidemiology
Adolescent ; Adult ; Female ; Humans ; Male ; Middle Aged ; Prevalence ; United States/epidemiology ; Young Adult
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Individualized prediction of COVID-19 adverse outcomes with MLHO.
Autorzy:
Estiri H; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02144, USA. .; Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA. .; Harvard Medical School, Boston, MA, 02115, USA. .
Strasser ZH; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02144, USA.; Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Harvard Medical School, Boston, MA, 02115, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Murphy SN; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, 02144, USA.; Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Harvard Medical School, Boston, MA, 02115, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.
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Źródło:
Scientific reports [Sci Rep] 2021 Mar 05; Vol. 11 (1), pp. 5322. Date of Electronic Publication: 2021 Mar 05.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Validation Study
MeSH Terms:
Machine Learning*
Models, Statistical*
COVID-19/*mortality
Data Mining/*methods
Adult ; Age Factors ; Aged ; Aged, 80 and over ; COVID-19/diagnosis ; COVID-19/therapy ; COVID-19/virology ; Electronic Health Records/statistics & numerical data ; Female ; Hospitalization/statistics & numerical data ; Humans ; Intensive Care Units/statistics & numerical data ; Male ; Middle Aged ; Pandemics/statistics & numerical data ; Prognosis ; ROC Curve ; Reproducibility of Results ; Respiration, Artificial/statistics & numerical data ; Retrospective Studies ; Risk Assessment/methods ; Risk Factors ; SARS-CoV-2/isolation & purification ; SARS-CoV-2/pathogenicity
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.
Autorzy:
Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Aronow BJ; Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, United States.
Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Beaulieu-Jones BK; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.; ICS Maugeri, Pavia, Italy.
Bradford RL; North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Cannataro M; Data Analytics Research Center, University Magna Graecia of Catanzaro, Catanzaro, Italy.; Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy.
Cimino JJ; Informatics Institute, University of Alabama at Birmingham, Birmingham, AL, United States.
García-Barrio N; Department of Informatics, 12 de Octubre University Hospital, Madrid, Spain.
Gehlenborg N; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Ghassemi M; Department of Computer Science and Medicine, University of Toronto, Toronto, ON, Canada.
Gutiérrez-Sacristán A; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Hanauer DA; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States.
Holmes JH; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Klann JG; Department of Medicine, Harvard Medical School, Boston, MA, United States.; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, United States.
Loh NHW; National University Health Systems, Singapore, Singapore.
Luo Y; Department of Preventive Medicine, Northwestern University, Chicago, IL, United States.
Mandl KD; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
Daniar M; Clinical Research Informatics, Boston Children's Hospital, Boston, MA, United States.
Moore JH; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States.
Murphy SN; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
Neuraz A; Department of Biomedical Informatics, Necker-Enfant Malades Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.; Centre de Recherche des Cordeliers, INSERM UMRS 1138 Team 22, Université de Paris, Paris, France.
Ngiam KY; National University Health Systems, Singapore, Singapore.
Omenn GS; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States.
Palmer N; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Patel LP; Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS, United States.
Pedrera-Jiménez M; Department of Informatics, 12 de Octubre University Hospital, Madrid, Spain.
Sliz P; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
South AM; Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, NC, United States.
Tan ALM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.; Department of Biomedical Informatics, National University of Singapore, Singapore, Singapore.
Taylor DM; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.; Department of Pediatrics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, United States.
Taylor BW; Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI, United States.
Torti C; Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy.
Vallejos AK; Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, WI, United States.
Wagholikar KB; Department of Medicine, Harvard Medical School, Boston, MA, United States.; Laboratory of Computer Science, Massachusetts General Hospital, Boston, MA, United States.
Weber GM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Cai T; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.
Pokaż więcej
Corporate Authors:
Consortium For Clinical Characterization Of COVID-19 By EHR (4CE); See Acknowledgments, .
Źródło:
Journal of medical Internet research [J Med Internet Res] 2021 Mar 02; Vol. 23 (3), pp. e22219. Date of Electronic Publication: 2021 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
Electronic Health Records*
COVID-19/*epidemiology
Data Collection/*methods
Data Collection/standards ; Humans ; Peer Review, Research/standards ; Publishing/standards ; Reproducibility of Results ; SARS-CoV-2/isolation & purification
Czasopismo naukowe
Pełny tekstSzczegóły
Tytuł:
Tobacco use and age are associated with different morphologic features of anterior communicating artery aneurysms.
Autorzy:
Zhang J; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.; Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Lai PMR; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Can A; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.; Department of Neurosurgery, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Mukundan S; Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Castro VM; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Dligach D; Boston Children's Hospital Informatics Program, Boston, MA, USA.; Department of Computer Science, Loyola University, Chicago, IL, USA.
Finan S; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Gainer VS; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Shadick NA; Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Savova G; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Murphy SN; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Cai T; Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Weiss ST; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Du R; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. .; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2021 Feb 26; Vol. 11 (1), pp. 4791. Date of Electronic Publication: 2021 Feb 26.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Aneurysm, Ruptured/*epidemiology
Anterior Cerebral Artery/*pathology
Intracranial Aneurysm/*epidemiology
Tobacco Use/*epidemiology
Adult ; Age Factors ; Aged ; Aneurysm, Ruptured/pathology ; Female ; Humans ; Intracranial Aneurysm/pathology ; Male ; Middle Aged ; Risk Factors
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Morphological variables associated with ruptured basilar tip aneurysms.
Autorzy:
Zhang J; Department of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.; Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Can A; Department of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.; Department of Neurosurgery, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Lai PMR; Department of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Mukundan S Jr; Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Castro VM; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Dligach D; Boston Children's Hospital Informatics Program, Boston, MA, USA.; Department of Computer Science, Loyola University, Chicago, IL, USA.
Finan S; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Gainer VS; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.
Shadick NA; Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Savova G; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Murphy SN; Research Information Systems and Computing, Massachusetts General Brigham, Boston, MA, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Cai T; Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Weiss ST; Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Du R; Department of Neurosurgery, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA. .; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA. .
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Źródło:
Scientific reports [Sci Rep] 2021 Jan 28; Vol. 11 (1), pp. 2526. Date of Electronic Publication: 2021 Jan 28.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Aneurysm, Ruptured/*diagnostic imaging
Aneurysm, Ruptured/*pathology
Basilar Artery/*diagnostic imaging
Basilar Artery/*pathology
Intracranial Aneurysm/*diagnostic imaging
Intracranial Aneurysm/*pathology
Aged ; Aneurysm, Ruptured/etiology ; Cerebral Angiography ; Computed Tomography Angiography ; Female ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; Male ; Middle Aged ; Risk Factors
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Age and morphology of posterior communicating artery aneurysms.
Autorzy:
Zhang J; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.; Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Can A; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Lai PMR; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Mukundan S Jr; Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Castro VM; Research Information Systems and Computing, Partners Healthcare, Boston, MA, USA.
Dligach D; Boston Children's Hospital Informatics Program, Boston, MA, USA.; Department of Computer Science, Loyola University, Chicago, IL, USA.
Finan S; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Yu S; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Center for Statistical Science, Tsinghua University, Beijing, China.
Gainer VS; Research Information Systems and Computing, Partners Healthcare, Boston, MA, USA.
Shadick NA; Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Savova G; Boston Children's Hospital Informatics Program, Boston, MA, USA.
Murphy SN; Research Information Systems and Computing, Partners Healthcare, Boston, MA, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Cai T; Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Weiss ST; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Du R; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. .; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA. .
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Źródło:
Scientific reports [Sci Rep] 2020 Jul 14; Vol. 10 (1), pp. 11545. Date of Electronic Publication: 2020 Jul 14.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Aneurysm, Ruptured/*physiopathology
Intracranial Aneurysm/*physiopathology
Age Factors ; Aged ; Aneurysm, Ruptured/diagnostic imaging ; Cerebral Angiography ; Computed Tomography Angiography ; Female ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional ; Intracranial Aneurysm/diagnostic imaging ; Male ; Middle Aged ; Multivariate Analysis ; Natural Language Processing ; Registries ; Retrospective Studies ; Risk
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform.
Autorzy:
Wagholikar KB; Harvard Medical School, Boston, MA, USA.; Massachusetts General Hospital, Boston, MA, USA.; Partners Healthcare, Boston, MA, USA.
Joshi SV; Persistent Systems, Pune, India.
Pai Vernekar VV; Persistent Systems, Pune, India.
Ostrovsky Y; Persistent Systems, Pune, India.
Desai SD; Persistent Systems, Pune, India.
Magdum PB; Persistent Systems, Pune, India.
Wakle SB; Persistent Systems, Pune, India.
Jain S; Persistent Systems, Pune, India.
Zagade A; Persistent Systems, Pune, India.
Patel R; Persistent Systems, Pune, India.
Murphy SN; Harvard Medical School, Boston, MA, USA.; Massachusetts General Hospital, Boston, MA, USA.; Partners Healthcare, Boston, MA, USA.
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Źródło:
BioMed research international [Biomed Res Int] 2020 Jul 07; Vol. 2020, pp. 2851713. Date of Electronic Publication: 2020 Jul 07 (Print Publication: 2020).
Typ publikacji:
Journal Article
MeSH Terms:
Biomedical Research/*methods
Informatics/*methods
Information Storage and Retrieval/*methods
Biology/methods ; Cloud Computing ; Cohort Studies ; Electronic Health Records ; Humans ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison of personal and shared frameshift neoantigen vaccines in a mouse mammary cancer model.
Autorzy:
Peterson M; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA. .
Murphy SN; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Lainson J; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Zhang J; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Shen L; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Diehnelt CW; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Johnston SA; Center for Innovations in Medicine, The Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.; Calviri, Inc, Tempe, AZ, 85284, USA.
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Źródło:
BMC immunology [BMC Immunol] 2020 May 05; Vol. 21 (1), pp. 25. Date of Electronic Publication: 2020 May 05.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Antigens, Neoplasm/*immunology
Cancer Vaccines/*immunology
Animals ; Breast Neoplasms ; Disease Models, Animal ; Female ; Humans ; Immunity, Cellular/immunology ; Immunity, Humoral/immunology ; Immunotherapy/methods ; Mice ; Mice, Inbred BALB C ; Mutation/immunology ; Peptides/immunology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.
Autorzy:
Weiss RJ; Division of Newborn Medicine, Department of Pediatrics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Bates SV; Division of Newborn Medicine, Department of Pediatrics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Song Y; Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC), Boston Children's Hospital, Harvard Medical School, 401 Park Drive, Landmark Center 7022, Boston, MA, 02115, USA.
Zhang Y; Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC), Boston Children's Hospital, Harvard Medical School, 401 Park Drive, Landmark Center 7022, Boston, MA, 02115, USA.
Herzberg EM; Division of Newborn Medicine, Department of Pediatrics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Chen YC; Division of Newborn Medicine, Department of Pediatrics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Gong M; Computer Science & Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Chien I; Computer Science & Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Zhang L; Computer Science & Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Murphy SN; Laboratory of Computer Science, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Gollub RL; Department of Psychiatry and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Grant PE; Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC), Boston Children's Hospital, Harvard Medical School, 401 Park Drive, Landmark Center 7022, Boston, MA, 02115, USA. .; Neuroradiology Division, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .
Ou Y; Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC), Boston Children's Hospital, Harvard Medical School, 401 Park Drive, Landmark Center 7022, Boston, MA, 02115, USA. .; Neuroradiology Division, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .; Computational Health Informatics Program (CHIP), Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA. .
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Źródło:
Journal of translational medicine [J Transl Med] 2019 Nov 21; Vol. 17 (1), pp. 385. Date of Electronic Publication: 2019 Nov 21.
Typ publikacji:
Journal Article; Multicenter Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Machine Learning*
Magnetic Resonance Imaging*
Biomarkers/*metabolism
Hypoxia-Ischemia, Brain/*diagnostic imaging
Algorithms ; Clinical Trials as Topic ; Humans ; Infant, Newborn ; International Classification of Diseases ; Probability ; Treatment Outcome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A clustering approach for detecting implausible observation values in electronic health records data.
Autorzy:
Estiri H; Laboratory of Computer Science, Massachusetts General Hospital, 50 Staniford Street, Suite 750, Boston, MA, 02114, USA. .; Research Information Science and Computing, Partners HealthCare, Charlestown, MA, USA. .
Klann JG; Laboratory of Computer Science, Massachusetts General Hospital, 50 Staniford Street, Suite 750, Boston, MA, 02114, USA.; Research Information Science and Computing, Partners HealthCare, Charlestown, MA, USA.
Murphy SN; Laboratory of Computer Science, Massachusetts General Hospital, 50 Staniford Street, Suite 750, Boston, MA, 02114, USA.; Research Information Science and Computing, Partners HealthCare, Charlestown, MA, USA.; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Jul 23; Vol. 19 (1), pp. 142. Date of Electronic Publication: 2019 Jul 23.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Cluster Analysis*
Data Accuracy*
Electronic Health Records*
Diagnostic Tests, Routine ; Humans ; Logical Observation Identifiers Names and Codes ; Unsupervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model.
Autorzy:
Klann JG; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, United States of America.; Harvard Medical School, Boston, Massachusetts, United States of America.; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Joss MAH; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, United States of America.
Embree K; Personalized Medicine, Partners Healthcare, Boston, Massachusetts, United States of America.
Murphy SN; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, United States of America.; Harvard Medical School, Boston, Massachusetts, United States of America.; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
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Źródło:
PloS one [PLoS One] 2019 Feb 19; Vol. 14 (2), pp. e0212463. Date of Electronic Publication: 2019 Feb 19 (Print Publication: 2019).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Electronic Health Records/*trends
Information Storage and Retrieval/*methods
Biomedical Research ; Cohort Studies ; Databases, Factual ; Delivery of Health Care ; Humans ; United States
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Implementation of informatics for integrating biology and the bedside (i2b2) platform as Docker containers.
Autorzy:
Wagholikar KB; Massachusetts General Hospital, Boston, MA, USA. .; Harvard Medical School, Boston, MA, USA. .
Dessai P; University of California Los Angeles, Los Angeles, CA, USA.
Sanz J; University of California Los Angeles, Los Angeles, CA, USA.
Mendis ME; Partners Healthcare, Boston, MA, USA.
Bell DS; University of California Los Angeles, Los Angeles, CA, USA.
Murphy SN; Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2018 Jul 16; Vol. 18 (1), pp. 66. Date of Electronic Publication: 2018 Jul 16.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Biomedical Research*
Medical Informatics Applications*
Medical Informatics Computing*
Point-of-Care Systems*
Humans
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Automating Installation of the Integrating Biology and the Bedside (i2b2) Platform.
Autorzy:
Wagholikar KB; Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Partners HealthCare, Boston, MA, USA.
Mendis M; Partners HealthCare, Boston, MA, USA.
Dessai P; University of California, Los Angeles, Los Angeles, CA, USA.
Sanz J; University of California, Los Angeles, Los Angeles, CA, USA.
Law S; University of California, San Francisco, San Francisco, CA, USA.
Gilson M; University of California, San Francisco, San Francisco, CA, USA.
Sanders S; University of California, San Francisco, San Francisco, CA, USA.
Vangala M; UMass Medical School, Worcester, MA, USA.
Bell DS; University of California, Los Angeles, Los Angeles, CA, USA.
Murphy SN; Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Partners HealthCare, Boston, MA, USA.
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Źródło:
Biomedical informatics insights [Biomed Inform Insights] 2018 Jun 04; Vol. 10, pp. 1178222618777749. Date of Electronic Publication: 2018 Jun 04 (Print Publication: 2018).
Typ publikacji:
Journal Article; Review
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Combining clinical and genomics queries using i2b2 - Three methods.
Autorzy:
Murphy SN; Research IS and Computing, Partners HealthCare, Charlestown, Massachusetts, United States of America.; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Laboratory of Computer Science, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.; IRCCS Fondazione S. Maugeri, Pavia, Italy.; Centre for Health Technologies, University of Pavia, Pavia, Italy.
Phillips L; Research IS and Computing, Partners HealthCare, Charlestown, Massachusetts, United States of America.
Gabetta M; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.; Biomeris s.r.l, Via Ferrata, Pavia, Italy.
Eran A; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
McDuffie MT; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
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Źródło:
PloS one [PLoS One] 2017 Apr 07; Vol. 12 (4), pp. e0172187. Date of Electronic Publication: 2017 Apr 07 (Print Publication: 2017).
Typ publikacji:
Journal Article
MeSH Terms:
Genomics*
Software*
Systems Integration*
Humans ; Polymorphism, Single Nucleotide ; Programming Languages
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS).
Autorzy:
Klann JG; Harvard Medical School, Boston, MA, USA. .; Partners Healthcare, Boston, MA, USA. .; Massachusetts General Hospital, Boston, MA, USA. .
Phillips LC; Partners Healthcare, Boston, MA, USA.
Turchin A; Harvard Medical School, Boston, MA, USA.; Partners Healthcare, Boston, MA, USA.; Brigham and Women's Hospital, Boston, MA, USA.; Harvard Clinical Research Institute, Boston, MA, USA.
Weiler S; Harvard Medical School, Boston, MA, USA.
Mandl KD; Harvard Medical School, Boston, MA, USA.; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Murphy SN; Harvard Medical School, Boston, MA, USA.; Partners Healthcare, Boston, MA, USA.; Massachusetts General Hospital, Boston, MA, USA.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2015 Dec 11; Vol. 15, pp. 104. Date of Electronic Publication: 2015 Dec 11.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Biological Ontologies*
Current Procedural Terminology*
Data Mining*
Electronic Health Records*
Humans ; Natural Language Processing
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Wyświetlanie 1-20 z 35

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