Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records-Reference-Cited by-同舟云学术

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Published:2018-11-20 Issue:11 Volume:15 Page:e1002695
ISSN:1549-1676
Container-title:PLOS Medicine
language:en
Short-container-title:PLoS Med

Author:

Rahimian Fatemeh^ORCID,Salimi-Khorshidi Gholamreza,Payberah Amir H.,Tran Jenny^ORCID,Ayala Solares Roberto,Raimondi Francesca^ORCID,Nazarzadeh Milad^ORCID,Canoy Dexter^ORCID,Rahimi Kazem^ORCID

Funder

Oxford Martin School, University of Oxford

NIHR Oxford Biomedical Research Centre

Rhodes Scholarships

Publisher

Public Library of Science (PLoS)

Subject

General Medicine

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5. Identifying patients at high risk of emergency hospital admissions: a logistic regression analysis;A Bottle;J R Soc Med,2006

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