By Dr George Karystianis

Journal articles

Karystianis G; Lukmanjaya W; Buchan I; Simpson P; Ginnivan N; Nenadic G; Butler T, 2024, 'An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study', BMC Medical Research Methodology, 24, http://dx.doi.org/10.1186/s12874-024-02186-6

Karystianis G; Kita S; Lerigo F; Sheridan L; Butler T, 2024, 'Characteristics of adult male victims in intimate heterosexual relationships from domestic violence police narratives', Crime Science, 13, http://dx.doi.org/10.1186/s40163-024-00228-4

Karystianis G; Chowdhury N; Sheridan L; Reutens S; Wade S; Allnutt S; Kim MT; Poynton S; Butler T, 2024, 'Text mining domestic violence police narratives to identify behaviours linked to coercive control', Crime Science, 13, http://dx.doi.org/10.1186/s40163-024-00200-2

Lukmanjaya W; Butler T; Taflan P; Simpson P; Ginnivan N; Buchan I; Nenadic G; Karystianis G, 2024, 'Population characteristics in justice health research based on PubMed abstracts from 1963 to 2023: text mining study (Preprint)', JMIR Formative Research, http://dx.doi.org/10.2196/60878

Reutens S; Karystianis G; Withall A; Butler T, 2024, 'Characteristics of domestic violence perpetrators with dementia from police records using text mining', Frontiers in Psychiatry, 15, http://dx.doi.org/10.3389/fpsyt.2024.1331915

Reutens S; Dandolo C; Looi RCH; Karystianis GC; Looi JCL, 2024, 'The uses and misuses of artificial intelligence in psychiatry: Promises and challenges', Australasian Psychiatry, http://dx.doi.org/10.1177/10398562241280348

Karystianis G; Simpson P; Lukmanjaya W; Ginnivan N; Nenadic G; Buchan I; Butler T, 2023, 'Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study', JMIR Formative Research, 7, http://dx.doi.org/10.2196/49721

Karystianis G; Cabral RC; Adily A; Lukmanjaya W; Schofield P; Buchan I; Nenadic G; Butler T, 2022, 'Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study', JMIR Formative Research, 6, http://dx.doi.org/10.2196/39373

Wilson M; Spike E; Karystianis G; Butler T, 2022, 'Nonfatal Strangulation During Domestic Violence Events in New South Wales: Prevalence and Characteristics Using Text Mining Study of Police Narratives', Violence Against Women, 28, pp. 2259 - 2285, http://dx.doi.org/10.1177/10778012211025993

Karystianis G; Lukmanjaya W; Simpson P; Schofield P; Ginnivan N; Nenadic G; van Leeuwen M; Buchan I; Butler T, 2022, 'An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study', Interactive Journal of Medical Research, 11, pp. e42891, http://dx.doi.org/10.2196/42891

Karystianis G; Adily A; Schofield PW; Wand H; Lukmanjaya W; Buchan I; Nenadic G; Butler T, 2022, 'Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records', Frontiers in Psychiatry, 12, http://dx.doi.org/10.3389/fpsyt.2021.787792

Adily A; Karystianis G; Butler T, 2021, 'Text mining police narratives for mentions of mental disorders in family and domestic violence events', TRENDS AND ISSUES IN CRIME AND CRIMINAL JUSTICE, pp. 1 - 15, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000672806800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Adily A; Karystianis G; Butler T, 2021, 'Text mining police narratives to identify types of abuse and victim injuries in family and domestic violence events', TRENDS AND ISSUES IN CRIME AND CRIMINAL JUSTICE, pp. 1 - 12, http://dx.doi.org/10.52922/ti04923

Withall A; Karystianis G; Duncan D; Hwang YI; Kidane AH; Butler T; Hwang J, 2021, 'Domestic Violence in Residential Care Facilities in New South Wales, Australia: A Text Mining Study', Gerontologist, 62, pp. 223 - 231, http://dx.doi.org/10.1093/geront/gnab068

Karystianis G; Cabral RC; Han SC; Poon J; Butler T, 2021, 'Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence.', Front Digit Health, 3, pp. 602683, http://dx.doi.org/10.3389/fdgth.2021.602683

Karystianis G; Simpson A; Adily A; Schofield P; Greenberg D; Wand H; Nenadic G; Butler T, 2020, 'Prevalence of mental illnesses in domestic violence police records: Text mining study', Journal of Medical Internet Research, 22, http://dx.doi.org/10.2196/23725

Hwang YI; Zheng L; Karystianis G; Gibbs V; Sharp K; Butler T; Hwang J, 2020, 'Domestic violence events involving autism: a text mining study of police records in New South Wales, 2005-2016', Research in Autism Spectrum Disorders, 78, pp. 101634, http://dx.doi.org/10.1016/j.rasd.2020.101634

Karystianis G; Simpson A; Adily A; Schofield P; Greenberg D; Wand H; Nenadic G; Butler T, 2020, 'Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.23725

Spasic I; Krzeminski D; Corcoran P; Balinsky A, 2019, 'Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach.', JMIR Med Inform, 7, pp. e15980, http://dx.doi.org/10.2196/15980

Karystianis G; Florez-Vargas O; Butler T; Nenadic G, 2019, 'A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records', JAMIA Open, http://dx.doi.org/10.1093/jamiaopen/ooz041

Karystianis G; Adily A; Schofield P; Knight L; Galdon C; Greenberg D; Jorm L; Nenadic G; Butler T, 2019, 'Erratum: Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Journal of medical Internet research (2018) 20 9 (e11548))', Journal of medical Internet research, 21, pp. e13007, http://dx.doi.org/10.2196/13007

Karystianis G; Adily A; Schofield PW; Greenberg D; Jorm L; Nenadic G; Butler T, 2019, 'Automated analysis of domestic violence police reports to explore abuse types and victim injuries: Text mining study', Journal of Medical Internet Research, 21, http://dx.doi.org/10.2196/13067

Karystianis G; Adily A; Schofield PW; Greenberg D; Jorm L; Nenadic G; Butler T, 2018, 'Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.13067

Karystianis G; Adily A; Schofield P; Knight L; Galdon C; Greenberg D; Jorm L; Nenadic G; Butler T, 2018, 'Correction: Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.13007

Karystianis G; Adily A; Schofield P; Knight L; Galdon C; Greenberg D; Jorm L; Nenadic G; Butler T, 2018, 'Automatic extraction of mental health disorders from domestic violence police narratives: Text mining study', Journal of Medical Internet Research, 20, http://dx.doi.org/10.2196/11548

Karystianis G; Adily A; Schofield P; Knight L; Galdon C; Greenberg D; Jorm L; Nenadic G; Butler T, 2018, 'Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.11548

Tsafnat G; Glasziou P; Karystianis G; Coiera E, 2018, 'Automated screening of research studies for systematic reviews using study characteristics', Systematic reviews, 7, pp. 64, http://dx.doi.org/10.1186/s13643-018-0724-7

Karystianis G; Nevado AJ; Kim CH; Dehghan A; Keane JA; Nenadic G, 2018, 'Automatic mining of symptom severity from psychiatric evaluation notes', International Journal of Methods in Psychiatric Research, 27, http://dx.doi.org/10.1002/mpr.1602

Dehghan A; Kovacevic A; Karystianis G; Keane JA; Nenadic G, 2017, 'Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes', Journal of Biomedical Informatics, 75, pp. S28 - S33, http://dx.doi.org/10.1016/j.jbi.2017.06.005

Karystianis G; Thayer K; Wolfe M; Tsafnat G, 2017, 'Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews', Journal of Biomedical Informatics, 70, pp. 27 - 34, http://dx.doi.org/10.1016/j.jbi.2017.04.004

Neumann K; Grittner U; Piper SK; Rex A; Florez-Vargas O; Karystianis G; Schneider A; Wellwood I; Siegerink B; Ioannidis JPA; Kimmelman J; Dirnagl U, 2017, 'Increasing efficiency of preclinical research by group sequential designs', PLoS Biology, 15, http://dx.doi.org/10.1371/journal.pbio.2001307

Flórez-Vargas O; Brass A; Karystianis G; Bramhall M; Stevens R; Cruickshank S; Nenadic G, 2016, 'Bias in the reporting of sex and age in biomedical research on mouse models', eLife, 5, http://dx.doi.org/10.7554/eLife.13615

Karystianis G; Sheppard T; Dixon WG; Nenadic G, 2016, 'Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database Healthcare Information Systems', BMC Medical Informatics and Decision Making, 16, http://dx.doi.org/10.1186/s12911-016-0255-x

Dehghan A; Kovacevic A; Karystianis G; Keane JA; Nenadic G, 2015, 'Combining knowledge- and data-driven methods for de-identification of clinical narratives', Journal of Biomedical Informatics, 58, pp. S53 - S59, http://dx.doi.org/10.1016/j.jbi.2015.06.029

Karystianis G; Dehghan A; Kovacevic A; Keane JA; Nenadic G, 2015, 'Using local lexicalized rules to identify heart disease risk factors in clinical notes', Journal of Biomedical Informatics, 58, pp. S183 - S188, http://dx.doi.org/10.1016/j.jbi.2015.06.013

Karystianis G; Buchan I; Nenadic G, 2014, 'Mining characteristics of epidemiological studies from medline: A case study in obesity', Journal of Biomedical Semantics, 5, http://dx.doi.org/10.1186/2041-1480-5-22

Back to profile page