Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.
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Using Human 'Experiments of Nature' to Predict Drug Safety Issues: An Example with PCSK9 Inhibitors.Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.Electronic health records: the next wave of complex disease genetics.LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving StatinsRelationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records
P2860
Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.
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2017 nî lūn-bûn
@nan
2017 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Evaluating phecodes, clinical ...... the electronic health record.
@ast
Evaluating phecodes, clinical ...... the electronic health record.
@en
type
label
Evaluating phecodes, clinical ...... the electronic health record.
@ast
Evaluating phecodes, clinical ...... the electronic health record.
@en
prefLabel
Evaluating phecodes, clinical ...... the electronic health record.
@ast
Evaluating phecodes, clinical ...... the electronic health record.
@en
P2093
P2860
P1433
P1476
Evaluating phecodes, clinical ...... the electronic health record.
@en
P2093
Dan M Roden
Joshua C Denny
Joy E Marlo
Lisa A Bastarache
Robert J Carroll
Travis J Osterman
Wei-Qi Wei
P2860
P304
P356
10.1371/JOURNAL.PONE.0175508
P407
P577
2017-07-07T00:00:00Z