📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using local lexicalized rules to identify heart disease risk factors in clinical notes. (2015)

First Author: Karystianis G
Attributed to:  Health e-Research Centre -HeRC funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jbi.2015.06.013

PubMed Identifier: 26133479

Publication URI: http://europepmc.org/abstract/MED/26133479

Type: Journal Article/Review

Volume: 58 Suppl

Parent Publication: Journal of biomedical informatics

Issue: Suppl

ISSN: 1532-0464