Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study.

ABSTRACT:

Background

Vast numbers of domestic violence (DV) incidents are attended by the New South Wales Police Force each year in New South Wales and recorded as both structured quantitative data and unstructured free text in the WebCOPS (Web-based interface for the Computerised Operational Policing System) database regarding the details of the incident, the victim, and person of interest (POI). Although the structured data are used for reporting purposes, the free text remains untapped for DV reporting and surveillance purposes.

Objective

In this paper, we explore whether text mining can automatically identify mental health disorders from this unstructured text.

Methods

We used a training set of 200 DV recorded events to design a knowledge-driven approach based on lexical pa

SUBMITTER: Karystianis G 

PROVIDER: S-EPMC6231811 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature