Published on in Vol 20, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11548, first published .
Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study

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

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

Journals

  1. Karystianis G, Adily A, Schofield P, Greenberg D, Jorm L, Nenadic G, Butler T. Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study. Journal of Medical Internet Research 2019;21(3):e13067 View
  2. Hwang Y, Zheng L, Karystianis G, Gibbs V, Sharp K, Butler T. Domestic violence events involving autism: a text mining study of police records in New South Wales, 2005-2016. Research in Autism Spectrum Disorders 2020;78:101634 View
  3. Wu C, Luedtke A, Sadikova E, Tsai H, Liao S, Liu C, Gau S, VanderWeele T, Kessler R. Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia. JAMA Network Open 2020;3(2):e1921660 View
  4. Karystianis G, Simpson A, Adily A, Schofield P, Greenberg D, Wand H, Nenadic G, Butler T. Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study. Journal of Medical Internet Research 2020;22(12):e23725 View
  5. Karystianis G, Cabral R, Han S, Poon J, Butler T. Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence. Frontiers in Digital Health 2021;3 View

Books/Policy Documents

  1. Polpinij J, Kachai T, Nasomboon K, Bheganan P. Recent Advances in Information and Communication Technology 2019. View