Development and Validation of an Electronic Health Record–Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment-Reference-Cited by-同舟云学术

Development and Validation of an Electronic Health Record–Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment

Published:2018-08-03 Issue:4 Volume:1 Page:e181018
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Wong Andrew¹,Young Albert T.¹,Liang April S.¹,Gonzales Ralph²,Douglas Vanja C.³,Hadley Dexter⁴

Affiliation:

1. School of Medicine, University of California, San Francisco

2. Clinical Innovation Center, Department of Medicine, University of California, San Francisco

3. Department of Neurology, University of California, San Francisco

4. Institute for Computational Health Sciences, University of California, San Francisco

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/1/4/e181018/17313738/wong_2018_oi_180072.pdf

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4. Preventing delirium: should non-pharmacological, multicomponent interventions be used? a systematic review and meta-analysis of the literature.;Martinez;Age Ageing,2015

5. A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics.;Inouye;Ann Intern Med,1993

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