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Tytuł :
Increased usability, algorithmic improvements and incorporation of data mining for structure calculation of proteins with REDCRAFT software package.
Autorzy :
Cole C; Department of Computer Science and Engineering, University of South Carolina, M. Bert Storey Engineering and Innovation Center, 550 Assembly St, Columbia, SC, 29201, USA.
Parks C; Department of Computer Science and Engineering, University of South Carolina, M. Bert Storey Engineering and Innovation Center, 550 Assembly St, Columbia, SC, 29201, USA.
Rachele J; Department of Computer Science and Engineering, University of South Carolina, M. Bert Storey Engineering and Innovation Center, 550 Assembly St, Columbia, SC, 29201, USA.
Valafar H; Department of Computer Science and Engineering, University of South Carolina, M. Bert Storey Engineering and Innovation Center, 550 Assembly St, Columbia, SC, 29201, USA. .
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2020 Dec 03; Vol. 21 (Suppl 9), pp. 204. Date of Electronic Publication: 2020 Dec 03.
Typ publikacji :
Journal Article
MeSH Terms :
Algorithms*
Data Mining*
Software*
Proteins/*chemistry
Databases, Protein ; Magnetic Resonance Spectroscopy/methods ; Nuclear Magnetic Resonance, Biomolecular ; Protein Conformation ; User-Computer Interface
Czasopismo naukowe
Tytuł :
Dependency parsing of biomedical text with BERT.
Autorzy :
Kanerva J; TurkuNLP Group, University of Turku, Turku, Finland. .
Ginter F; TurkuNLP Group, University of Turku, Turku, Finland.
Pyysalo S; TurkuNLP Group, University of Turku, Turku, Finland.
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2020 Dec 29; Vol. 21 (Suppl 23), pp. 580. Date of Electronic Publication: 2020 Dec 29.
Typ publikacji :
Journal Article
MeSH Terms :
Biomedical Research*
Data Mining*
Software*
Humans ; Language ; Models, Statistical ; Natural Language Processing
Czasopismo naukowe
Tytuł :
BioRel: towards large-scale biomedical relation extraction.
Autorzy :
Xing R; State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China.
Luo J; State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China. .
Song T; State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China.
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2020 Dec 16; Vol. 21 (Suppl 16), pp. 543. Date of Electronic Publication: 2020 Dec 16.
Typ publikacji :
Journal Article
MeSH Terms :
Biomedical Research*
Data Mining*
Software*
Databases as Topic ; Humans ; Machine Learning ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.
Autorzy :
Sangal RB; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Fodeh S; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Taylor A; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Rothenberg C; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Finn EB; Department of Internal Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Sheth K; Department of Neurology, United States; Yale University School of Medicine, New Haven CT, United States.
Matouk C; Department of Neurosurgery, United States.
Ulrich A; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Parwani V; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Sather J; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States.
Venkatesh A; Department of Emergency Medicine, United States; Yale University School of Medicine, New Haven CT, United States. Electronic address: .
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Źródło :
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2020 Dec; Vol. 29 (12), pp. 105306. Date of Electronic Publication: 2020 Oct 15.
Typ publikacji :
Comparative Study; Journal Article; Validation Study
MeSH Terms :
Administrative Claims, Healthcare*
Data Mining*
International Classification of Diseases*
Support Vector Machine*
Intracranial Hemorrhages/*diagnosis
Aged ; Aged, 80 and over ; Female ; Health Services Research ; Humans ; Intracranial Hemorrhages/classification ; Male ; Middle Aged ; Phenotype ; Predictive Value of Tests ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
Improving biomedical named entity recognition with syntactic information.
Autorzy :
Tian Y; University of Washington, Seattle, USA.
Shen W; Hunan University, Changsha, China.
Song Y; The Chinese University of Hong Kong, Shenzhen, China. .; Shenzhen Research Institute of Big Data, Shenzhen, China. .
Xia F; University of Washington, Seattle, USA.
He M; Hunan University, Changsha, China.
Li K; Hunan University, Changsha, China.
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2020 Nov 25; Vol. 21 (1), pp. 539. Date of Electronic Publication: 2020 Nov 25.
Typ publikacji :
Journal Article
MeSH Terms :
Biomedical Research*
Data Mining*
Semantics*
Benchmarking ; Databases as Topic ; Deep Learning ; Statistics as Topic
Czasopismo naukowe
Tytuł :
Reply to "On Clinical Utility and Systematic Reporting in Case Studies of Healthcare Process Mining. Comment on: 10.3390/ijerph17041348 'Towards the Use of Standardised Terms in Clinical Case Studies for Process Mining in Healthcare' ".
Autorzy :
Helm E; Research Department Advanced Information Systems and Technology, University of Applied SciencesUpper Austria, 4232 Hagenberg, Austria.; Institute for Applied Knowledge Processing, Johannes Kepler University, 4040 Linz, Austria.
Lin AM; Research Department Advanced Information Systems and Technology, University of Applied SciencesUpper Austria, 4232 Hagenberg, Austria.
Baumgartner D; Research Department Advanced Information Systems and Technology, University of Applied SciencesUpper Austria, 4232 Hagenberg, Austria.
Lin AC; Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
Küng J; Institute for Applied Knowledge Processing, Johannes Kepler University, 4040 Linz, Austria.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Nov 19; Vol. 17 (22). Date of Electronic Publication: 2020 Nov 19.
Typ publikacji :
Journal Article; Comment
MeSH Terms :
Data Mining*
Delivery of Health Care*
Health Facilities ; Organizations
Czasopismo naukowe
Tytuł :
On Clinical Utility and Systematic Reporting in Case Studies of Healthcare Process Mining.
Autorzy :
Mordaunt DA; Shoalhaven Hospital Group, Illawarra-Shoalhaven Local Health District, Nowra 2541, Australia.; Faculty of Medical and Health Sciences, University of Adelaide, Adelaide 5005, Australia.; College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia.; School of Medicine, University of Wollongong, Wollongong 2522, Australia.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Nov 10; Vol. 17 (22). Date of Electronic Publication: 2020 Nov 10.
Typ publikacji :
Journal Article; Comment
MeSH Terms :
Data Mining*
Organizations*
Delivery of Health Care ; Health Facilities ; Public Health
Czasopismo naukowe
Tytuł :
Mining twitter to explore the emergence of COVID-19 symptoms.
Autorzy :
Guo JW; College of Nursing, University of Utah, Salt Lake City, UT, USA.
Radloff CL; College of Nursing, University of Utah, Salt Lake City, UT, USA.
Wawrzynski SE; College of Nursing, University of Utah, Salt Lake City, UT, USA.
Cloyes KG; College of Nursing, University of Utah, Salt Lake City, UT, USA.
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Źródło :
Public health nursing (Boston, Mass.) [Public Health Nurs] 2020 Nov; Vol. 37 (6), pp. 934-940. Date of Electronic Publication: 2020 Sep 16.
Typ publikacji :
Journal Article
MeSH Terms :
Data Mining*
Social Media*
COVID-19/*epidemiology
Public Health Surveillance/*methods
Humans ; United States/epidemiology
Czasopismo naukowe
Tytuł :
A data mining approach to investigate food groups related to incidence of bladder cancer in the BLadder cancer Epidemiology and Nutritional Determinants International Study.
Autorzy :
Yu EYW; Department of Complex Genetics and Epidemiology, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Wesselius A; Department of Complex Genetics and Epidemiology, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
Sinhart C; Department of Data Science & Knowledge Engineering, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands.
Wolk A; Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Stern MC; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Jiang X; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Tang L; Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
Marshall J; Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
Kellen E; Leuven University Centre for Cancer Prevention (LUCK), Leuven, Belgium.
van den Brandt P; Department of Epidemiology, Schools for Oncology and Developmental Biology and Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands.
Lu CM; Department of Urology, Buddhist Dalin Tzu Chi General Hospital, Dalin Township62247, Chiayi County, Taiwan.
Pohlabeln H; Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Steineck G; Department of Oncology and Pathology, Division of Clinical Cancer Epidemiology, Karolinska Hospital, Stockholm, Sweden.
Allam MF; Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Cordoba, Cordoba, Spain.
Karagas MR; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
La Vecchia C; Department of Clinical Medicine and Community Health, University of Milan, Milan, Italy.
Porru S; Department of Diagnostics and Public Health, Section of Occupational Health, University of Verona, Verona, Italy.; University Research Center 'Integrated Models for Prevention and Protection in Environmental and Occupational Health' MISTRAL, University of Verona, Milano Bicocca and Brescia, Italy.
Carta A; University Research Center 'Integrated Models for Prevention and Protection in Environmental and Occupational Health' MISTRAL, University of Verona, Milano Bicocca and Brescia, Italy.; Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Golka K; Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund, Dortmund, Germany.
Johnson KC; Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, ON, Canada.
Benhamou S; INSERM U946, Variabilite Genetique et Maladies Humaines, Fondation Jean Dausset/CEPH, Paris, France.
Zhang ZF; Departments of Epidemiology, UCLA Center for Environmental Genomics, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Bosetti C; Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy.
Taylor JA; Epidemiology Branch, and Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
Weiderpass E; International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France.
Grant EJ; Department of Epidemiology Radiation Effects Research Foundation, Hiroshima, Japan.
White E; Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Polesel J; Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
Zeegers MPA; CAPHRI School for Public Health and Primary Care, University of Maastricht, Maastricht, The Netherlands.; School of Cancer Sciences, University of Birmingham, Birmingham, UK.
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Źródło :
The British journal of nutrition [Br J Nutr] 2020 Sep 28; Vol. 124 (6), pp. 611-619. Date of Electronic Publication: 2020 Apr 23.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.
MeSH Terms :
Data Mining*
Food*
Urinary Bladder Neoplasms/*epidemiology
Algorithms ; Case-Control Studies ; Diet ; Female ; Humans ; Incidence ; Internationality ; Male ; Risk Factors
Czasopismo naukowe
Tytuł :
Data mining and model-predicting a global disease reservoir for low-pathogenic Avian Influenza (A) in the wider pacific rim using big data sets.
Autorzy :
Gulyaeva M; Novosibirsk State University, Novosibirsk, Russia.; Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
Huettmann F; EWHALE Lab, Institute of Arctic Biology, Biology and Wildlife Department, University of Alaska Fairbanks (UAF), Fairbanks, USA. .
Shestopalov A; Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
Okamatsu M; Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
Matsuno K; Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.; Global Station for Zoonosis Control, Global Institute for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan.
Chu DH; Department of Animal Health, Ministry of Agriculture and Rural Development, Ha Noi, Viet Nam.
Sakoda Y; Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.; Global Station for Zoonosis Control, Global Institute for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan.
Glushchenko A; Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
Milton E; University of Alaska Anchorage (UAA), Anchorage, USA.
Bortz E; University of Alaska Anchorage (UAA), Anchorage, USA.
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Źródło :
Scientific reports [Sci Rep] 2020 Oct 08; Vol. 10 (1), pp. 16817. Date of Electronic Publication: 2020 Oct 08.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Data Mining*/methods
Disease Reservoirs*/statistics & numerical data
Disease Reservoirs*/virology
Birds/*virology
Influenza in Birds/*epidemiology
Animals ; Chickens/virology ; Datasets as Topic ; Ducks/virology ; Forecasting ; Influenza in Birds/virology ; Models, Statistical ; Orthomyxoviridae/pathogenicity ; Pacific Ocean ; Prevalence
Czasopismo naukowe
Tytuł :
PALMER: improving pathway annotation based on the biomedical literature mining with a constrained latent block model.
Autorzy :
Nam JH; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.; School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.
Couch D; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
da Silveira WA; School of Biological Sciences, Queen's University Belfast, Belfast, UK.
Yu Z; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Chung D; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA. .
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2020 Oct 02; Vol. 21 (1), pp. 432. Date of Electronic Publication: 2020 Oct 02.
Typ publikacji :
Journal Article
MeSH Terms :
Algorithms*
Data Mining*
Models, Theoretical*
Molecular Sequence Annotation*
Publications*
Computer Simulation ; Gene Ontology ; Gene Regulatory Networks ; Humans ; Multigene Family ; Systems Biology
Czasopismo naukowe
Tytuł :
Mining a human transcriptome database for chemical modulators of NRF2.
Autorzy :
Rooney JP; Center for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, NC, United States of America.; ORISE, US-EPA, Research Triangle Park, NC, United States of America.
Chorley B; Center for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, NC, United States of America.
Hiemstra S; Division of Toxicology, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.
Wink S; Division of Toxicology, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.
Wang X; Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States of America.
Bell DA; Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States of America.
van de Water B; Division of Toxicology, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.
Corton JC; Center for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, NC, United States of America.
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Źródło :
PloS one [PLoS One] 2020 Sep 28; Vol. 15 (9), pp. e0239367. Date of Electronic Publication: 2020 Sep 28 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms :
Data Mining*
Databases, Genetic*
Transcriptome*
NF-E2-Related Factor 2/*genetics
NF-E2-Related Factor 2/*metabolism
Biomarkers/metabolism ; Hep G2 Cells ; Humans
Czasopismo naukowe
Tytuł :
Integration of microarray data and literature mining identifies a sex bias in DPP4+CD4+ T cells in HIV-1 infection.
Autorzy :
Stubbe HC; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.; Department of Medicine II, Hospital of the LMU Munich, Munich, Germany.; Division of Infectious Diseases, First Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Dahlke C; Division of Infectious Diseases, First Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Germany.; Department of Clinical Immunology of Infectious Diseases, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Rotheneder K; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.
Stirner R; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.
Roider J; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.
Conca R; Department of Pediatrics Dr. Von Hauner Children's Hospital, Hospital of the LMU Munich, Munich, Germany.
Seybold U; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.
Bogner J; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.
Addo MM; Division of Infectious Diseases, First Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.; German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Germany.; Department of Clinical Immunology of Infectious Diseases, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Draenert R; Division of Infectious Diseases, Department of Medicine IV, Hospital of the LMU Munich, Munich, Germany.; German Center for Infection Research (DZIF), Partner Site Munich, Germany.; Antibiotic Stewardship Team, Hospital of the LMU Munich, Munich, Germany.
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Źródło :
PloS one [PLoS One] 2020 Sep 18; Vol. 15 (9), pp. e0239399. Date of Electronic Publication: 2020 Sep 18 (Print Publication: 2020).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Data Mining*
Oligonucleotide Array Sequence Analysis*
CD4-Positive T-Lymphocytes/*cytology
Dipeptidyl Peptidase 4/*metabolism
HIV Infections/*genetics
HIV Infections/*immunology
HIV-1/*physiology
Adult ; CD4-Positive T-Lymphocytes/metabolism ; Cell Count ; Disease Progression ; Female ; Humans ; Male ; Sex Distribution
Czasopismo naukowe
Tytuł :
Big Data, Decision Models, and Public Health.
Autorzy :
Chan CL; Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan.; Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan.
Chang CC; School of Medical Informatics, Chung Shan Medical University & IT Office, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.
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Źródło :
International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Sep 15; Vol. 17 (18). Date of Electronic Publication: 2020 Sep 15.
Typ publikacji :
Editorial
MeSH Terms :
Big Data*
Clinical Decision-Making*
Data Mining*
Public Health*
Machine Learning
Opinia redakcyjna
Tytuł :
A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes.
Autorzy :
Sajanti A; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Lyne SB; Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, Chicago, IL, 60637, USA.
Girard R; Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, Chicago, IL, 60637, USA.
Frantzén J; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Rantamäki T; Laboratory of Neurotherapeutics, Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences and Drug Research Program, Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Heino I; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Cao Y; Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, Chicago, IL, 60637, USA.
Diniz C; Neuroscience Center, HiLIFE, University of Helsinki, Box 63, 00014, Helsinki, Finland.
Umemori J; Neuroscience Center, HiLIFE, University of Helsinki, Box 63, 00014, Helsinki, Finland.
Li Y; Neurovascular Surgery Program, Section of Neurosurgery, The University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, Chicago, IL, 60637, USA.; Center for Research Informatics, The University of Chicago, Chicago, IL, USA.
Takala R; Perioperative Services, Intensive Care and Pain Medicine, Turku University Hospital, POB 52, 20521, Turku, Finland.; Department of Anaesthesiology and Intensive Care, University of Turku, Turku, Finland.
Posti JP; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Roine S; Division of Clinical Neurosciences, Department of Cerebrovascular Diseases, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Koskimäki F; Division of Clinical Neurosciences, Department of Cerebrovascular Diseases, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Rahi M; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Rinne J; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland.
Castrén E; Neuroscience Center, HiLIFE, University of Helsinki, Box 63, 00014, Helsinki, Finland.
Koskimäki J; Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital and University of Turku, Hämeentie 11, P.O. Box 52, 20521, Turku, Finland. .; Department of Psychiatry, Central Hospital of Southern Ostrobothnia, Hanneksenrinne 7, 60220, Seinäjoki, Finland. .
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Źródło :
Scientific reports [Sci Rep] 2020 Sep 11; Vol. 10 (1), pp. 14984. Date of Electronic Publication: 2020 Sep 11.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Algorithms*
Brain Injuries*/genetics
Brain Injuries*/metabolism
Data Mining*
Gene Regulatory Networks*
Metabolic Networks and Pathways*
Nerve Tissue Proteins*/genetics
Nerve Tissue Proteins*/metabolism
Neurodegenerative Diseases*/genetics
Neurodegenerative Diseases*/metabolism
Receptors, Nerve Growth Factor*/genetics
Receptors, Nerve Growth Factor*/metabolism
Signal Transduction*
Humans ; PubMed
Czasopismo naukowe
Tytuł :
Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.
Autorzy :
Wang CCN; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.; Center for Artificial Intelligence in Precision Medicine, UAsia University, Taichung, Taiwan.
Jin J; Department of EECS and BME, University of California, Irvine, USA.
Chang JG; Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan.; Center for Precision Medicine, China Medical University Hospital, Taichung, Taiwan.; Graduate Institute of Clinical Medical Science, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
Hayakawa M; NEC Solution Innovators, Koto-ku, Tokyo, Japan.
Kitazawa A; NEC Solution Innovators, Koto-ku, Tokyo, Japan.
Tsai JJP; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
Sheu PC; Department of EECS and BME, University of California, Irvine, USA. .
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Źródło :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Sep 03; Vol. 20 (1), pp. 208. Date of Electronic Publication: 2020 Sep 03.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Data Mining*
Gastrointestinal Neoplasms*/genetics
Genes, Neoplasm*
Algorithms ; Apoptosis Regulatory Proteins ; Humans
Czasopismo naukowe
Tytuł :
Mining the role of RECQL5 in gastric cancer and seeking potential regulatory network by bioinformatics analysis.
Autorzy :
Lin Y; Department of Gastrointestinal Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, Guangdong Province 510655, China.
Chen H; Gastrointestinal Endoscopy Center, The Eighth Affiliated Hospital, Sun Yat-sen University, No.3025 Shennan Zhong Rd, Futian District, Shenzhen, Guangdong Province 518031, China.
Wang X; Department of Gastrointestinal Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, Guangdong Province 510655, China.
Xiang J; Department of Gastrointestinal Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, Guangdong Province 510655, China.
Wang H; Department of Gastrointestinal Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, Guangdong Province 510655, China. Electronic address: .
Peng J; Department of Gastrointestinal Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, Guangdong Province 510655, China. Electronic address: .
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Źródło :
Experimental and molecular pathology [Exp Mol Pathol] 2020 Aug; Vol. 115, pp. 104477. Date of Electronic Publication: 2020 Jun 01.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Computational Biology*
Data Mining*
Gene Regulatory Networks*
RecQ Helicases/*genetics
Stomach Neoplasms/*genetics
DNA Methylation/genetics ; Down-Regulation/genetics ; Female ; Humans ; Male ; Middle Aged ; Molecular Sequence Annotation ; Multivariate Analysis ; Mutation/genetics ; Prognosis ; Proportional Hazards Models ; Protein Interaction Maps/genetics ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; RecQ Helicases/metabolism
Czasopismo naukowe
Tytuł :
Successful linkage of French large-scale national registry populations to national reimbursement data: Improved data completeness and minimized loss to follow-up.
Autorzy :
Didier R; Department of Cardiology, CHRU Brest, 29200 Brest, France.
Gouysse M; Clinityx, 78260 Acheres, France.
Eltchaninoff H; Department of Cardiology, CHU Rouen, 76000 Rouen, France; RHU STOP-AS, 76000 Rouen, France.
Le Breton H; Department of Cardiology, CHU Rennes, 35000 Rennes, France.
Commeau P; Department of Cardiology, CHU Nîmes, 30029 Nîmes, France.
Cayla G; Department of Cardiology, CHU Nîmes, 30029 Nîmes, France.
Glatt N; Clinityx, 78260 Acheres, France.
Glatt B; Clinityx, 78260 Acheres, France.
Gabbas M; CNAM, 75141 Paris, France.
Tuppin P; CNAM, 75141 Paris, France.
Liepchitz L; Clinityx, 78260 Acheres, France.
Boussac M; CNAM, 75141 Paris, France.
Iung B; Department of Cardiology, Hôpital Bichat, Claude-Bernard, AP-HP, 75018 Paris, France.
Gilard M; Department of Cardiology, CHRU Brest, 29200 Brest, France; RHU STOP-AS, 76000 Rouen, France. Electronic address: .
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Źródło :
Archives of cardiovascular diseases [Arch Cardiovasc Dis] 2020 Aug - Sep; Vol. 113 (8-9), pp. 534-541. Date of Electronic Publication: 2020 Jul 22.
Typ publikacji :
Journal Article
MeSH Terms :
Administrative Claims, Healthcare*
Data Mining*
Electronic Health Records*
Insurance, Health, Reimbursement*
Medical Record Linkage*
Algorithms ; Data Accuracy ; Data Collection ; Databases, Factual ; France ; Humans ; Pilot Projects ; Registries ; Time Factors
Czasopismo naukowe
Tytuł :
Artificial Intelligence Uncovered Clinical Factors for Cardiovascular Events in Myocardial Infarction Patients with Glucose Intolerance.
Autorzy :
Shindo K; Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA.
Fukuda H; Department of Clinical Research and Development, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Hitsumoto T; Department of Clinical Research and Development, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Miyashita Y; Department of Legal Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, Japan.
Kim J; Kim Cardiovascular Clinic, 3-6-8 Katsuyama, Tennoji-ku, Osaka, Japan.
Ito S; Department of Clinical Research and Development, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Washio T; The Institute of Scientific and Industrial Research, Osaka University, 1-1 Yamadaoka, Suita, Osaka, Japan.
Kitakaze M; Department of Clinical Research and Development, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan. .; Hanwa Daini Senboku Hospital, 3176 Fukaikitamachi, Naka-ku, Sakai, Osaka, Japan. .
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Źródło :
Cardiovascular drugs and therapy [Cardiovasc Drugs Ther] 2020 Aug; Vol. 34 (4), pp. 535-545.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Data Mining*
Angina, Stable/*etiology
Coronary Artery Disease/*etiology
Glucose Intolerance/*complications
Myocardial Infarction/*etiology
Aged ; Angina, Stable/diagnosis ; Angina, Stable/therapy ; Biomarkers/blood ; Blood Glucose/metabolism ; Coronary Artery Disease/diagnosis ; Coronary Artery Disease/therapy ; Databases, Factual ; Female ; Glucose Intolerance/blood ; Glucose Intolerance/diagnosis ; Heart Failure/etiology ; Heart Failure/therapy ; Hospitalization ; Humans ; Male ; Middle Aged ; Myocardial Infarction/diagnosis ; Myocardial Infarction/therapy ; Natriuretic Peptide, Brain/blood ; Percutaneous Coronary Intervention ; Prognosis ; Proton Pump Inhibitors/therapeutic use ; Randomized Controlled Trials as Topic ; Recurrence ; Retrospective Studies ; Risk Factors
Czasopismo naukowe
Tytuł :
Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery.
Autorzy :
Zhao Y; Library of Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Fang L; Library of Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Cui L; Department of Information Management and Information System (Medicine), China Medical University, Shenyang, 110001, China.
Bai S; Department of Urology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110004, Liaoning, China. .
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Źródło :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Jul 20; Vol. 20 (1), pp. 165. Date of Electronic Publication: 2020 Jul 20.
Typ publikacji :
Journal Article
MeSH Terms :
Adrenal Gland Neoplasms*
Data Mining*
Pheochromocytoma*
Adult ; Aged ; Bayes Theorem ; Female ; Hemodynamics ; Humans ; Male ; Middle Aged
Czasopismo naukowe

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