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Science / Health informatics / Clinical decision support system / American Medical Informatics Association / Precision and recall / Translational research informatics / Recommender system / Patient safety / Electronic health record / Medicine / Health / Medical informatics


Automated Physician Order Recommendations and Outcome Predictions by Data-Mining Electronic Medical Records Jonathan H. Chen, MD, PhD1, Russ B. Altman, MD, PhD1,2* 1 Department of Medicine, Stanford University, Stanford,
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Document Date: 2014-04-17 10:45:07


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City

York / London / /

Company

CBC / MIT Press / Weighted Weighted Ranking Method Span Filter / Netflix / Amazon.com / A. Evaluating Recommendation Systems / Precision Score / H. PYLORI AG / /

Country

United States / United Kingdom / /

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Facility

National Institute of General Medical Sciences PharmGKB / Stanford University Hospital / Stanford University / /

IndustryTerm

natural language processing concept15 / mining / healthcare / power law distribution14 / statistical data-mining alternative / imaging / /

MedicalTreatment

renal replacement therapy / mechanical ventilation / /

Organization

National Institute of Health / Department of Medicine / Stanford NIH / MIT / Stanford University / IDF / /

Person

LACTIC ACID (High) / Russ B. Altman / Jonathan H. Chen / Ai / Tanya Podchiyska / Stanford Translational / /

Position

Physician / Major / General / /

Product

CALCIUM CHLORIDE / epinephrine / Sodium Bicarbonate / Pantoprazole / /

ProvinceOrState

ARDS / South Carolina / California / /

PublishedMedium

Computational Linguistics / Archives of Internal Medicine / the journal of the American Medical Association / /

SportsLeague

Stanford University / /

Technology

natural language processing / information technology / data mining / DOM / /

SocialTag