Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease. (2018)

First Author: Steele AJ
Attributed to:  MICA: Medical Bioinformatics: Data-Driven Discovery for Personalised Medicine funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pone.0202344

PubMed Identifier: 30169498

Publication URI: http://europepmc.org/abstract/MED/30169498

Type: Journal Article/Review

Volume: 13

Parent Publication: PloS one

Issue: 8

ISSN: 1932-6203