📣 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.

Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK. (2021)

First Author: Chilman N

Attributed to: SOCIAL AND ECONOMIC PREDICTORS FOR THE COURSE AND PROGNOSIS OF THE SEVERE MENTAL DISORDERS- THE SEP-MD DATA LINKAGE STUDY funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1136/bmjopen-2020-042274

PubMed Identifier: 33766838

Publication URI: http://europepmc.org/abstract/MED/33766838

Type: Journal Article/Review

Volume: 11

Parent Publication: BMJ open

Issue: 3

ISSN: 2044-6055