Published on in Vol 21 , No 3 (2019) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13067, first published .
Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study

Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study

Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study

George Karystianis 1 , BSc, MSc, PhD ;   Armita Adily 1 , BMedSc, MPH, PhD ;   Peter W Schofield 2 , BSc (Hons), BS, MSc, MD ;   David Greenberg 3 , MB, ChB, FFPsych (SA), FRCPC, FRANZCP, MMed ;   Louisa Jorm 4 , BVSc, MSc, PhD ;   Goran Nenadic 5 , BSc, MSc, PhD ;   Tony Butler 1 , BSc, MSc, PhD

1 The Kirby Institute , Faculty of Medicine , The University of New South Wales , Sydney , AU

2 Neuropsychiatry Service , Hunter New England Health , Newcastle , AU

3 School of Psychiatry , The University of New South Wales , Sydney , AU

4 Centre for Big Data Research in Health , The University of New South Wales , Sydney , AU

5 School of Computer Science , The University of Manchester , Manchester , GB

Corresponding Author:

  • George Karystianis , BSc, MSc, PhD
  • The Kirby Institute
  • Faculty of Medicine
  • The University of New South Wales
  • Level 6, Wallace Wurth Building
  • High Street, Kensington NSW
  • Sydney
  • AU
  • Phone: 61 (2) 9385 0900
  • Email: gkarystianis@kirby.unsw.edu.au