Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
J Am Med Inform Assoc
.
2013 Dec;20(e2):e206-11.
doi: 10.1136/amiajnl-2013-002428.
Authors
Jyotishman Pathak
1
,
Abel N Kho
,
Joshua C Denny
Affiliation
1
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
PMID:
24302669
PMCID:
PMC3861925
DOI:
10.1136/amiajnl-2013-002428
No abstract available
Publication types
Editorial
Research Support, N.I.H., Extramural
MeSH terms
Academic Medical Centers
Algorithms*
Electronic Health Records*
Genetic Association Studies
Genomics / methods*
Humans
Phenotype*
Grants and funding
U19 GM061388/GM/NIGMS NIH HHS/United States
U01-HG006379/HG/NHGRI NIH HHS/United States
U19 HL065962/HL/NHLBI NIH HHS/United States
R01-GM105688/GM/NIGMS NIH HHS/United States
R01 GM105688/GM/NIGMS NIH HHS/United States
U01 HG006379/HG/NHGRI NIH HHS/United States
U19-GM061388/GM/NIGMS NIH HHS/United States
U01-HG006388/HG/NHGRI NIH HHS/United States
R01 LM010685/LM/NLM NIH HHS/United States
R01-LM010685/LM/NLM NIH HHS/United States
U01 HG006388/HG/NHGRI NIH HHS/United States
U01-HG006378/HG/NHGRI NIH HHS/United States
U01 HG006378/HG/NHGRI NIH HHS/United States