This paper is in the following e-collection/theme issue:

New Methods (911) Natural Language Processing (650) Diagnostic Tools in Mental Health (224) Violence including Domestic Violence/Abuse (107)

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

Authors of this article:

George Karystianis1 Author Orcid Image ;   Armita Adily1 Author Orcid Image ;   Peter Schofield2 Author Orcid Image ;   Lee Knight1 Author Orcid Image ;   Clara Galdon3 Author Orcid Image ;   David Greenberg4 Author Orcid Image ;   Louisa Jorm5 Author Orcid Image ;   Goran Nenadic6 Author Orcid Image ;   Tony Butler1 Author Orcid Image
Article Authors Cited by (25) Tweetations (14) Metrics

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
  6. Withall A, Karystianis G, Duncan D, Hwang Y, Kidane A, Butler T, Bowers B. Domestic Violence in Residential Care Facilities in New South Wales, Australia: A Text Mining Study. The Gerontologist 2022;62(2):223 View
  7. Karystianis G, Adily A, Schofield P, Wand H, Lukmanjaya W, Buchan I, Nenadic G, Butler T. Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records. Frontiers in Psychiatry 2022;12 View
  8. Wilson M, Spike E, Karystianis G, Butler T. Nonfatal Strangulation During Domestic Violence Events in New South Wales: Prevalence and Characteristics Using Text Mining Study of Police Narratives. Violence Against Women 2022;28(10):2259 View
  9. Karystianis G, Cabral R, Adily A, Lukmanjaya W, Schofield P, Buchan I, Nenadic G, Butler T. Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study. JMIR Formative Research 2022;6(10):e39373 View
  10. Liu Z, Peach R, Lawrance E, Noble A, Ungless M, Barahona M. Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service. Frontiers in Digital Health 2021;3 View
  11. Stephanie E, Ruiz L, Vila M, Pegalajar M. Study of violence against women and its characteristics through the application of text mining techniques. International Journal of Data Science and Analytics 2024;18(1):35 View
  12. Geurts R, Raaijmakers N, Delsing M, Spapens T, Wientjes J, Willems D, Scholte R. Assessing the Risk of Repeat Victimization Using Structured and Unstructured Police Information. Crime & Delinquency 2023;69(9):1736 View
  13. Khairova N, Mamyrbayev O, Rizun N, Razno M, Galiya Y. A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages. IEEE Access 2023;11:54093 View
  14. Sarzaeim P, Mahmoud Q, Azim A, Bauer G, Bowles I. A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing. Computers 2023;12(12):255 View
  15. Karystianis G, Chowdhury N, Sheridan L, Reutens S, Wade S, Allnutt S, Kim M, Poynton S, Butler T. Text mining domestic violence police narratives to identify behaviours linked to coercive control. Crime Science 2024;13(1) View
  16. Zhang W, Kong L, Lee S, Chen Y, Zhang G, Wang H, Song M. Detecting mental and physical disorders using multi-task learning equipped with knowledge graph attention network. Artificial Intelligence in Medicine 2024;149:102812 View
  17. Reutens S, Karystianis G, Withall A, Butler T. Characteristics of domestic violence perpetrators with dementia from police records using text mining. Frontiers in Psychiatry 2024;15 View
  18. Prof. Vishal Nayakwadi , Ganesh Nehe , Manish Chaudhari , Sonali Powar . Study of Violence Against Women and its Characteristics Using Application of Data Mining Techniques. International Journal of Scientific Research in Science, Engineering and Technology 2024;11(3):194 View
  19. Das S, Catterall J, Stone R, Clough A. “The reasons you believe …”: An exploratory study of text driven evidence gathering and prediction from first responder records justifying state authorised intervention for mental health episodes. Computer Methods and Programs in Biomedicine 2024;254:108257 View
  20. Kwon D, Borrion H, Wortley R. Measuring Cybercrime in Calls for Police Service. Asian Journal of Criminology 2024 View

Books/Policy Documents

  1. Polpinij J, Kachai T, Nasomboon K, Bheganan P. Recent Advances in Information and Communication Technology 2019. View
  2. Sridevi U, Sophia S. Big Data Analytics in Cognitive Social Media and Literary Texts. View