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Wyszukujesz frazę ""Common Data Elements"" wg kryterium: Temat


Tytuł:
Learning important common data elements from shared study data: The All of Us program analysis.
Autorzy:
Mayer CS; Lister Hill National Center for Biomedical Communication, National Library of Medicine, NIH, Bethesda, Maryland, United States of America.
Huser V; Lister Hill National Center for Biomedical Communication, National Library of Medicine, NIH, Bethesda, Maryland, United States of America.
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Źródło:
PloS one [PLoS One] 2023 Jul 07; Vol. 18 (7), pp. e0283601. Date of Electronic Publication: 2023 Jul 07 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, N.I.H., Intramural
MeSH Terms:
Common Data Elements*
Population Health*
Humans ; Data Collection ; Systematized Nomenclature of Medicine ; Delivery of Health Care
Czasopismo naukowe
Tytuł:
Semantic modelling of common data elements for rare disease registries, and a prototype workflow for their deployment over registry data.
Autorzy:
Kaliyaperumal R; Leiden University Medical Center, Leiden, The Netherlands.
Wilkinson MD; Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Pozuelo de Alarcón, Madrid, ES, Spain. .
Moreno PA; Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Pozuelo de Alarcón, Madrid, ES, Spain.
Benis N; Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Cornet R; Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Dos Santos Vieira B; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.; Centre for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, The Netherlands.
Dumontier M; Institute of Data Science, Paul-Henri Spaaklaan 1, Maastricht University, 6229EN, Maastricht, The Netherlands.
Bernabé CH; Leiden University Medical Center, Leiden, The Netherlands.
Jacobsen A; Leiden University Medical Center, Leiden, The Netherlands.
Le Cornec CMA; Division of Paediatric Nephrology, Centre for Paediatrics and Adolescent Medicine, University of Heidelberg, Heidelberg, Germany.
Godoy MP; Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Centro de Biotecnología y Genómica de Plantas (CBGP), Universidad Politécnica de Madrid (UPM), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Pozuelo de Alarcón, Madrid, ES, Spain.
Queralt-Rosinach N; Leiden University Medical Center, Leiden, The Netherlands.
Schultze Kool LJ; Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Swertz MA; University of Groningen and University Medical Center Groningen, Genomics Coordination Center and Department of Genetics, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
van Damme P; Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
van der Velde KJ; University of Groningen and University Medical Center Groningen, Genomics Coordination Center and Department of Genetics, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
Lalout N; Centre for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, The Netherlands.; Duchenne Parent Project, Veenendaal, The Netherlands.
Zhang S; Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Roos M; Leiden University Medical Center, Leiden, The Netherlands.
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Źródło:
Journal of biomedical semantics [J Biomed Semantics] 2022 Mar 15; Vol. 13 (1), pp. 9. Date of Electronic Publication: 2022 Mar 15.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Common Data Elements*
Rare Diseases*
Humans ; Registries ; Semantics ; Workflow
Czasopismo naukowe
Tytuł:
Myalgic Encephalomyelitis-Chronic Fatigue Syndrome Common Data Element item content analysis.
Autorzy:
Slavin MD; Department of Health Law Policy and Management, Boston University School of Public Health, Boston, Massachusetts, United States of America.; Spaulding Rehabilitation Hospital, Rehabilitation Outcomes Center (ROC), Boston, Massachusetts, United States of America.
Bailey HM; Department of Health Law Policy and Management, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Hickey EJ; University Center for Excellence in Developmental Disabilities, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Vasudevan A; Department of Health Law Policy and Management, Boston University School of Public Health, Boston, Massachusetts, United States of America.; Boston University School of Medicine, Boston, Massachusetts, United States of America.
Ledingham A; Department of Health Law Policy and Management, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Tannenbaum L; Open Medicine Foundation, Agoura Hills, California, United States of America.
Bateman L; Bateman Horne Center of Excellence, Salt Lake City, Utah, United States of America.
Kaufman DL; Center for Complex Diseases, Mountain View, California, United States of America.
Peterson DL; Sierra Internal Medicine, Incline Village, Nevada, United States of America.
Ruhoy IS; Mount Sinai South Nassau, Neurology, Chiari/EDS Center, Oceanside, New York, United States of America.
Systrom DM; Brigham and Women's Hospital, Lung Center, Boston, Massachusetts, United States of America.
Felsenstein D; Massachusetts General Hospital, Boston, Massachusetts, United States of America.; Harvard Medical School, Boston, Massachusetts, United States of America.
Kazis LE; Department of Health Law Policy and Management, Boston University School of Public Health, Boston, Massachusetts, United States of America.; Spaulding Rehabilitation Hospital, Rehabilitation Outcomes Center (ROC), Boston, Massachusetts, United States of America.; Harvard Medical School, Boston, Massachusetts, United States of America.
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Źródło:
PloS one [PLoS One] 2023 Sep 12; Vol. 18 (9), pp. e0291364. Date of Electronic Publication: 2023 Sep 12 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Fatigue Syndrome, Chronic*/diagnosis
Cognitive Dysfunction*
Adult ; Humans ; Common Data Elements ; Fatigue ; Pain
Czasopismo naukowe
Tytuł:
Composite CDE: modeling composite relationships between common data elements for representing complex clinical data.
Autorzy:
Kim HH; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Park YR; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Lee S; Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, 35365, Republic of Korea.
Kim JH; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Jul 03; Vol. 20 (1), pp. 147. Date of Electronic Publication: 2020 Jul 03.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Common Data Elements*
Metadata*
Registries ; Republic of Korea ; Semantics
Czasopismo naukowe
Tytuł:
Clinical Progression of Parkinson's Disease: Insights from the NINDS Common Data Elements.
Autorzy:
Lewis MM; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.; Department of Pharmacology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Harkins E; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Lee EY; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Stetter C; Department of Public Health Sciences, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Snyder B; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Corson T; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Du G; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Kong L; Department of Public Health Sciences, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
Huang X; Department of Neurology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.; Department of Pharmacology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.; Department of Radiology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.; Department of Neurosurgery, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.; Department of Kinesiology, Pennsylvania State University Milton S. Hershey Medical Center, Hershey, PA, USA.
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Źródło:
Journal of Parkinson's disease [J Parkinsons Dis] 2020; Vol. 10 (3), pp. 1075-1085.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:
Common Data Elements*
Disease Progression*
Parkinson Disease/*diagnosis
Parkinson Disease/*physiopathology
Aged ; Female ; Humans ; Male ; Middle Aged ; National Institute of Neurological Disorders and Stroke (U.S.) ; Severity of Illness Index ; United States
Czasopismo naukowe
Tytuł:
Common Data Elements in the Assessment of Military-Related PTSD Research Applied in the Consortium to Alleviate PTSD.
Autorzy:
Ben Barnes J; Massachusetts Veterans Epidemiology Research and Information Center, MAVERIC, VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA.
Presseau C; Massachusetts Veterans Epidemiology Research and Information Center, MAVERIC, VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA.
Jordan AH; Massachusetts Veterans Epidemiology Research and Information Center, MAVERIC, VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA.; Department of Psychiatry, Boston University School of Medicine, 72 East Concord Street, Boston, MA.
Kline NK; Massachusetts Veterans Epidemiology Research and Information Center, MAVERIC, VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA.
Young-McCaughan S; Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX.
Keane TM; Department of Psychiatry, Boston University School of Medicine, 72 East Concord Street, Boston, MA.; Behavioral Science Division, National Center for PTSD, VA Boston Healthcare System, 150 South Huntington Ave, Boston, MA.
Peterson AL; Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX.; Research and Development Service, South Texas Veterans Health Care System, 7400 Merton Minter, San Antonio, TX.; Department of Psychology, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX.
Litz BT; Massachusetts Veterans Epidemiology Research and Information Center, MAVERIC, VA Boston Healthcare System, 150 S. Huntington Avenue, Boston, MA.; Department of Psychiatry, Boston University School of Medicine, 72 East Concord Street, Boston, MA.; Department of Psychological and Brain Sciences, Boston University, 64 Cummington Mall, Boston, MA.
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Corporate Authors:
the Consortium to Alleviate PTSD
Źródło:
Military medicine [Mil Med] 2019 May 01; Vol. 184 (5-6), pp. e218-e226.
Typ publikacji:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Common Data Elements*
Psychometrics/*standards
Stress Disorders, Post-Traumatic/*diagnosis
Combat Disorders/diagnosis ; Combat Disorders/psychology ; Humans ; Military Personnel/psychology ; Psychometrics/instrumentation ; Psychometrics/methods ; Reproducibility of Results ; Severity of Illness Index ; Stress Disorders, Post-Traumatic/psychology ; Surveys and Questionnaires
Czasopismo naukowe
Tytuł:
Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.
Autorzy:
Renner R; University of Minnesota, Minneapolis, MN, 55455, USA.
Li S; School of Computing, University of South Alabama, Mobile, AL, 36688, USA.
Huang Y; College of Allied Health Professions, University of South Alabama, Mobile, AL, 36608, USA.
van der Zijp-Tan AC; College of Allied Health Professions, University of South Alabama, Mobile, AL, 36608, USA.
Tan S; School of Computing, University of South Alabama, Mobile, AL, 36688, USA.
Li D; School of Computing, University of South Alabama, Mobile, AL, 36688, USA.
Kasukurthi MV; School of Computing, University of South Alabama, Mobile, AL, 36688, USA.
Benton R; School of Computing, University of South Alabama, Mobile, AL, 36688, USA.
Borchert GM; College of Medicine, University of South Alabama, Mobile, AL, 36688, USA.
Huang J; School of Computing, University of South Alabama, Mobile, AL, 36688, USA. .; Qilu University of Technology (Shandong Academy of Science), Jinan, China. .
Jiang G; Mayo Clinic, Rochester, MN, 55905, USA. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Dec 23; Vol. 19 (Suppl 7), pp. 276. Date of Electronic Publication: 2019 Dec 23.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Biomedical Research*
Common Data Elements*
Neoplasms*
Neural Networks, Computer*
Algorithms ; Humans ; Research Design ; Semantics
Czasopismo naukowe
Tytuł:
Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics.
Autorzy:
Kim HH; Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.; Seoul National University Hospital Biomedical Research Institute, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
Park YR; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Lee KH; Precision Medicine Center, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
Song YS; Department of Pathology, Hanyang University College of Medicine, Seoul, 04763, Republic of Korea. .
Kim JH; Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, 03080, Republic of Korea. .; Division of Biomedical Informatics, Seoul National University College of Medicine, 103 Daehak-ro Jongno-gu, Seoul, 03080, Republic of Korea. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Aug 20; Vol. 19 (1), pp. 166. Date of Electronic Publication: 2019 Aug 20.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Common Data Elements*
Metadata*
Semantics*
Humans ; Research Design ; Software
Czasopismo naukowe
Tytuł:
Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group in the Pediatric Population
Autorzy:
Boerwinkle, Varina L.Aff1, IDs12028023018707_cor1
Appavu, Brian
Cediel, Emilio Garzon
Erklaurer, Jennifer
Lalgudi Ganesan, Saptharishi
Gibbons, Christie
Hahn, Cecil
LaRovere, Kerri L.
Moberg, Dick
Natarajan, Girija
Molteni, Erika
Reuther, William R.
Slomine, Beth S.Aff11, Aff12
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Źródło:
Neurocritical Care. 40(1):65-73
Czasopismo naukowe
Tytuł:
Improving research through NINDS Headache Common Data Elements.
Autorzy:
Oshinsky ML; 1 National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, MD, USA.
Tanveer S; 2 The Emmes Corporation, Rockville, MD, USA.
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Źródło:
Cephalalgia : an international journal of headache [Cephalalgia] 2018 Dec; Vol. 38 (14), pp. 2083-2084. Date of Electronic Publication: 2018 Apr 24.
Typ publikacji:
Letter
MeSH Terms:
Common Data Elements*
Headache*
Biomedical Research ; Humans ; National Institute of Neurological Disorders and Stroke (U.S.) ; United States
Opinia redakcyjna
Tytuł:
Reported baseline variables in transsphenoidal surgery for pituitary adenoma over a 30 year period: a systematic review
Autorzy:
Layard Horsfall, HugoAff1, Aff2, Aff3, IDs1110202301357w_cor1
Loh, Ryan T. S.
Venkatesh, Ashwin
Khan, Danyal Z.Aff2, Aff3
Lawrence, Alistair
Jayapalan, Ronie
Koulouri, Olympia
Borsetto, Daniele
Santarius, Thomas
Gurnell, Mark
Dorward, Neil
Mannion, Richard
Marcus, Hani J.Aff2, Aff3
Kolias, Angelos G.
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Źródło:
Pituitary: The official publication of the Pituitary Society and the Growth Hormone Research Society. 26(6):645-652
Czasopismo naukowe
Tytuł:
Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Goals-of-Care and Family/Surrogate Decision-Maker Data
Autorzy:
Jaffa, Matthew N.
Kirsch, Hannah L.Aff2, IDs12028023017960_cor2
Creutzfeldt, Claire J.
Guanci, Mary
Hwang, David Y.
LeTavec, Darlene
Mahanes, Dea
Natarajan, Girija
Steinberg, Alexis
Zahuranec, Darin B.
Muehlschlegel, Susanne
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Źródło:
Neurocritical Care. 39(3):600-610
Czasopismo naukowe
Tytuł:
Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Neuroimaging
Autorzy:
Edlow, Brian L.Aff1, Aff2, IDs12028023017942_cor1
Boerwinkle, Varina L.
Annen, JitkaAff4, Aff5
Boly, MelanieAff6, Aff7
Gosseries, OliviaAff4, Aff5
Laureys, StevenAff4, Aff5, Aff14
Mukherjee, Pratik
Puybasset, Louis
Stevens, Robert D.
Threlkeld, Zachary D.
Newcombe, Virginia F. J.
Fernandez-Espejo, Davinia
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Źródło:
Neurocritical Care. 39(3):611-617
Czasopismo naukowe
Tytuł:
Trajectories in glycated hemoglobin and body mass index in children and adolescents with diabetes using the common data model.
Autorzy:
Lee YJ; Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.
Yoo S; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Yi S; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Kim S; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Lee C; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Cho J; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Ahn S; Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Choi S; Division of Statistics, Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.; Department of Biostatistics, Korea University College of Medicine, Seoul, Korea.
Hwang H; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.; Department of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea.
Lee YA; Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.
Shin CH; Department of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.
Yoon HJ; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
Kim K; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.; Department of Data Science Research, Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, Korea.
Song E; Department of Data Science Research, Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, Korea.
Choi JH; Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Yoo HW; Department of Pediatrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kim YH; Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.; Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.; Health Innovation Big Data Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Oh JS; Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kang EA; Health Innovation Big Data Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Baek GK; Health Innovation Big Data Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Korea.
Kim JH; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea. .; Department of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, Korea. .
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Źródło:
Scientific reports [Sci Rep] 2021 Jul 16; Vol. 11 (1), pp. 14614. Date of Electronic Publication: 2021 Jul 16.
Typ publikacji:
Journal Article; Observational Study; Research Support, Non-U.S. Gov't
MeSH Terms:
Diabetes Mellitus, Type 1/*metabolism
Diabetes Mellitus, Type 2/*metabolism
Glycated Hemoglobin/*metabolism
Adolescent ; Body Mass Index ; Child ; Child, Preschool ; Common Data Elements ; Diabetes Mellitus, Type 1/drug therapy ; Diabetes Mellitus, Type 2/drug therapy ; Female ; Follow-Up Studies ; Humans ; Infant ; Infant, Newborn ; Insulin/therapeutic use ; Male ; Metformin/therapeutic use
Czasopismo naukowe
Tytuł:
Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting.
Autorzy:
Bruland P; Institute of Medical Informatics, University of Münster, Münster, 48149, Germany. .
McGilchrist M; University of Dundee, Dundee, DD2 4BF, UK.
Zapletal E; Département d'Informatique Hospitalière, AP-HP, Hôpital Européen Georges Pompidou, Paris, 75015, France.
Acosta D; CHIME, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Proeve J; Previously Bayer Healthcare, Building K9, Leverkusen, 51368, Germany.
Askin S; Novartis Pharma AG, Basel, 4002, Switzerland.
Ganslandt T; Chair of Medical Informatics, University of Erlangen/Nuremberg, Erlangen, 91054, Germany.
Doods J; Institute of Medical Informatics, University of Münster, Münster, 48149, Germany.
Dugas M; Institute of Medical Informatics, University of Münster, Münster, 48149, Germany.
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Źródło:
BMC medical research methodology [BMC Med Res Methodol] 2016 Nov 22; Vol. 16 (1), pp. 159. Date of Electronic Publication: 2016 Nov 22.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Common Data Elements*
Adverse Drug Reaction Reporting Systems/*statistics & numerical data
Clinical Trials as Topic/*statistics & numerical data
Electronic Health Records/*statistics & numerical data
Medical Informatics/*statistics & numerical data
Biomedical Research/methods ; Biomedical Research/statistics & numerical data ; Clinical Trials as Topic/methods ; Europe ; Health Information Exchange/statistics & numerical data ; Hospital Records/statistics & numerical data ; Humans ; Medical Informatics/methods ; Research Design
Czasopismo naukowe

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