Deep phenotyping: Embracing complexity and temporality-Towards scalability, portability, and interoperability
J Biomed Inform
.
2020 May:105:103433.
doi: 10.1016/j.jbi.2020.103433.
Epub 2020 Apr 23.
Authors
Chunhua Weng
1
,
Nigam H Shah
2
,
George Hripcsak
3
Affiliations
1
Department of Biomedical Informatics, Columbia University, New York, NY, USA. Electronic address: chunhua@columbia.edu.
2
Medicine - Biomedical Informatics Research, Stanford University, Stanford, CA, USA. Electronic address: nigam@stanford.edu.
3
Department of Biomedical Informatics, Columbia University, New York, NY, USA. Electronic address: gh13@cumc.columbia.edu.
PMID:
32335224
PMCID:
PMC7179504
DOI:
10.1016/j.jbi.2020.103433
No abstract available
Publication types
Editorial
Research Support, N.I.H., Extramural
Grants and funding
R01 LM006910/LM/NLM NIH HHS/United States
R01 LM009886/LM/NLM NIH HHS/United States
R01 LM011369/LM/NLM NIH HHS/United States
U01 HG008680/HG/NHGRI NIH HHS/United States
R01 LM013061/LM/NLM NIH HHS/United States
R01 LM012895/LM/NLM NIH HHS/United States
UL1 TR001873/TR/NCATS NIH HHS/United States