Work

Improvement in Cardiovascular Risk Prediction with Electronic Health Records

Year: 2016

Type: article

Study design: Observational Study

Source: Journal of Cardiovascular Translational Research

DOI: 10.1007/s12265-016-9687-z

Authors: Mindy M. Pike, Paul A. Decker, Nicholas B. Larson, Jennifer L. St. Sauver, Paul Y. Takahashi, Véronique L. Roger, Walter A. Rocca, Virginia M. Miller, Janet E. Olson, Jyotishman Pathak, Suzette J. Bielinski

Institutions: Mayo Clinic, Weill Cornell Medicine

Language: English

Topic: Health Promotion and Cardiovascular Prevention

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute on Aging, National Institute of General Medical Sciences

Awards: Multimorbidity and Aging: Rochester Epidemiology Project, National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms

OpenAlex ID: W2293263871

FWCI: 4.553

Cites: 30

Cited by: 43

Related to: 10