Select Publications
Journal articles
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
,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
,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
,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
,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
,2024, 'The uses and misuses of artificial intelligence in psychiatry: Promises and challenges', Australasian Psychiatry, http://dx.doi.org/10.1177/10398562241280348
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,2020, 'Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.23725
,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
,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
,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
,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
,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
,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
,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
,2018, 'Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.11548
,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
,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
,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
,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
,2017, 'Increasing efficiency of preclinical research by group sequential designs', PLoS Biology, 15, http://dx.doi.org/10.1371/journal.pbio.2001307
,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
,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
,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
,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
,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
,Conference Papers
2015, 'Using natural language processing to automatically extract cancer outcomes data from clinical notes', in EUROPEAN JOURNAL OF CANCER CARE, WILEY-BLACKWELL, pp. 11 - 11, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000355736600029&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
,Preprints
2024, Population characteristics in justice health research based on PubMed abstracts from 1963 to 2023: text mining study (Preprint), http://dx.doi.org/10.2196/preprints.60878
,2023, Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study (Preprint), http://dx.doi.org/10.2196/preprints.49721
,2022, Mental illness concordance between hospital clinical records and mentions in domestic violence police narratives: Data linkage study (Preprint), http://dx.doi.org/10.2196/preprints.39373
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