An electronic health record driven algorithm to identify incident antidepressant medication users.
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Trends in biomedical informatics: automated topic analysis of JAMIA articlesImproving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services DataClinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.
P2860
An electronic health record driven algorithm to identify incident antidepressant medication users.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին 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
An electronic health record dr ...... tidepressant medication users.
@ast
An electronic health record dr ...... tidepressant medication users.
@en
An electronic health record dr ...... tidepressant medication users.
@nl
type
label
An electronic health record dr ...... tidepressant medication users.
@ast
An electronic health record dr ...... tidepressant medication users.
@en
An electronic health record dr ...... tidepressant medication users.
@nl
prefLabel
An electronic health record dr ...... tidepressant medication users.
@ast
An electronic health record dr ...... tidepressant medication users.
@en
An electronic health record dr ...... tidepressant medication users.
@nl
P2093
P2860
P1476
An electronic health record dr ...... tidepressant medication users.
@en
P2093
Barbara P Yawn
Cynthia J Stoppel
Hilal Maradit Kremers
Jennifer St Sauver
Jyotishman Pathak
Mark A Frye
Scott M Brue
Walter A Rocca
William V Bobo
P2860
P304
P356
10.1136/AMIAJNL-2014-002699
P577
2014-04-29T00:00:00Z