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, Australia

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

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

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

5 School of Computer Science, The University of Manchester, Manchester, United Kingdom

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, 2052
  • Australia
  • Phone: 61 (2) 9385 0900
  • Email: gkarystianis@kirby.unsw.edu.au