Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context.
Publication
, Journal Article
Goldstein, BA; Navar, AM; Pencina, MJ
Published in: JAMA Cardiol
December 1, 2016
Duke Scholars
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Published In
JAMA Cardiol
DOI
EISSN
2380-6591
Publication Date
December 1, 2016
Volume
1
Issue
9
Start / End Page
976 / 977
Location
United States
Related Subject Headings
- 3201 Cardiovascular medicine and haematology
Citation
APA
Chicago
ICMJE
MLA
NLM
Goldstein, B. A., Navar, A. M., & Pencina, M. J. (2016). Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context. JAMA Cardiol, 1(9), 976–977. https://doi.org/10.1001/jamacardio.2016.3826
Goldstein, Benjamin A., Ann Marie Navar, and Michael J. Pencina. “Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context.” JAMA Cardiol 1, no. 9 (December 1, 2016): 976–77. https://doi.org/10.1001/jamacardio.2016.3826.
Goldstein BA, Navar AM, Pencina MJ. Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context. JAMA Cardiol. 2016 Dec 1;1(9):976–7.
Goldstein, Benjamin A., et al. “Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context.” JAMA Cardiol, vol. 1, no. 9, Dec. 2016, pp. 976–77. Pubmed, doi:10.1001/jamacardio.2016.3826.
Goldstein BA, Navar AM, Pencina MJ. Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context. JAMA Cardiol. 2016 Dec 1;1(9):976–977.
Published In
JAMA Cardiol
DOI
EISSN
2380-6591
Publication Date
December 1, 2016
Volume
1
Issue
9
Start / End Page
976 / 977
Location
United States
Related Subject Headings
- 3201 Cardiovascular medicine and haematology