z-logo
open-access-imgOpen Access
Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data
Author(s) -
Patrick J. O’Connor,
Julian Wolfson,
David M. Vock,
Sunayan Bandyopadhyay,
Gabriela Vasquez Benitez,
Paul Johnson,
Gediminas Adomavičius
Publication year - 2016
Publication title -
journal of patient-centered research and reviews
Language(s) - English
Resource type - Journals
eISSN - 2330-0698
pISSN - 2330-068X
DOI - 10.17294/2330-0698.1352
Subject(s) - cohort , framingham risk score , electronic health record , medicine , health records , framingham heart study , cohort study , medical record , personalization , electronic medical record , longitudinal data , risk assessment , health care , family medicine , computer science , data mining , disease , world wide web , computer security , economics , economic growth

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom