Work

Risk Prediction With Electronic Health Records

Year: 2016

Type: article

Source: JAMA Cardiology

DOI: 10.1001/jamacardio.2016.3826

Authors: Benjamin A. Goldstein, Ann Marie Navar, Michael J. Pencina

Institutions: Duke University, Duke Clinical Research Institute

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G1466155994, Preventing Cardiovascular Disease through Improved Risk Prediction and Communication

OpenAlex ID: W2531256481

FWCI: 3.294

Cites: 11

Cited by: 33

Related to: 10