Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.
about
Charting a future for epidemiologic trainingBig Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery.Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing-Based Algorithm With Statewide Electronic Medical RecordsEvolution of primary care databases in UK: a scientometric analysis of research outputHarnessing the heart of big dataElectronic health records to facilitate clinical research.Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and Validation.Utilizing an integrated infrastructure for outcomes research: a systematic review.Improving Patient Outcomes in Gynecology: The Role of Large Data Registries and Big Data Analytics.Data-Mining Electronic Medical Records for Clinical Order Recommendations: Wisdom of the Crowd or Tyranny of the Mob?Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.Big data analytics to improve cardiovascular care: promise and challenges.[Smart eye data : Development of a foundation for medical research using Smart Data applications].Big Data: Implications for Health System PharmacyPrecision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value.Clinical Research Informatics for Big Data and Precision Medicine.Data science, learning, and applications to biomedical and health sciences.Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order setsTransforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research.Convergent evolution of health information management and health informatics: a perspective on the future of information professionals in health careImproving safety of diabetes mellitus management.OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records.Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles.Are Patients With Cancer Less Willing to Share Their Health Information? Privacy, Sensitivity, and Social PurposeThe influence of a specific ophthalmological electronic health record on ICD-10 coding.Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS.Falsification Testing of Instrumental Variables Methods for Comparative Effectiveness ResearchPublic Health Platforms: An Emerging Informatics Approach to Health Professional Learning and Development.The Current and Potential Clinical Relevance of Heart Failure Biomarkers.The Challenges of Collecting and Using Patient Care Data From Diverse Care Systems: Lessons From COMPASS.Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter-defibrillatorsGenomic translational research: Paving the way to individualized cardiac functional analyses and personalized cardiology.Human Microbiome and Learning Healthcare Systems: Integrating Research and Precision Medicine for Inflammatory Bowel Disease.Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction.On Adjusting for Life's Confounding.Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and AnalysisRadiologists' interpretive skills in screening vs. diagnostic mammography: are they related?Biomedical Big Data: New Models of Control Over Access, Use and Governance.Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services.
P2860
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P2860
Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին 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 new knowledge in ...... for a learning health system.
@ast
Big data and new knowledge in ...... for a learning health system.
@en
type
label
Big data and new knowledge in ...... for a learning health system.
@ast
Big data and new knowledge in ...... for a learning health system.
@en
prefLabel
Big data and new knowledge in ...... for a learning health system.
@ast
Big data and new knowledge in ...... for a learning health system.
@en
P2860
P1433
P1476
Big data and new knowledge in ...... for a learning health system.
@en
P2860
P304
P356
10.1377/HLTHAFF.2014.0053
P407
P577
2014-07-01T00:00:00Z