Big data and clinicians: a review on the state of the science
about
Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus ConferenceBig Data Application in Biomedical Research and Health Care: A Literature ReviewBig data are coming to psychiatry: a general introductionWhat's so different about big data?. A primer for clinicians trained to think epidemiologicallyNursing Needs Big Data and Big Data Needs Nursing.Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach[Smart eye data : Development of a foundation for medical research using Smart Data applications].Prioritization of free-text clinical documents: a novel use of a bayesian classifier.H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus.Is real world evidence influencing practice? A systematic review of CPRD research in NICE guidances.Medical big data: promise and challengesCreation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record NotesTeaching Shared Decision Making to Family Medicine Residents: A Descriptive Study of a Web-Based Tutorial.Efficiency Analysis of an Interoperable Healthcare Operations Platform.Outcomes after bariatric surgery according to large databases: a systematic review.The future of psychiatric research.A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan.Structured Reporting in Neuroradiology: Intracranial Tumors.A study on specialist or special disease clinics based on big data.The Importance of Nonlinear Transformations Use in Medical Data Analysis.Human Genome Project, Personalised Medicine and Future Health CareBig Data DBMS Assessment: A Systematic Mapping StudyData Analysis Strategies in Medical ImagingDeveloping an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project
P2860
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P2860
Big data and clinicians: a review on the state of the science
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Big data and clinicians: a review on the state of the science
@ast
Big data and clinicians: a review on the state of the science
@en
Big data and clinicians: a review on the state of the science
@nl
type
label
Big data and clinicians: a review on the state of the science
@ast
Big data and clinicians: a review on the state of the science
@en
Big data and clinicians: a review on the state of the science
@nl
prefLabel
Big data and clinicians: a review on the state of the science
@ast
Big data and clinicians: a review on the state of the science
@en
Big data and clinicians: a review on the state of the science
@nl
P2860
P3181
P356
P1476
Big data and clinicians: a review on the state of the science
@en
P2093
Eswar Krishnan
P2860
P3181
P356
10.2196/MEDINFORM.2913
P407
P50
P577
2014-01-17T00:00:00Z