Work

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

Year: 2014

Type: article

Source: Data Mining and Knowledge Discovery

DOI: 10.1007/s10618-014-0386-6

Authors: Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O’Connor

Institutions: University of Minnesota, HealthPartners

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: Agency for Healthcare Research and Quality, National Heart, Lung, and Blood Institute

Awards: DEVELOPING TREATMENT POLICIES FOR COMPLEX PATIENTS USING MODELING AND DATA MINING, G5797812547, Prioritized Clinical Decision Support to Reduce Cardiovascular Risk

OpenAlex ID: W2147161150

FWCI: 7.407

Cites: 80

Cited by: 83

Related to: 10