Select Publications

Journal articles

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

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, vol. 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, vol. 21, pp. e13067, http://dx.doi.org/10.2196/13067

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, vol. 20, http://dx.doi.org/10.2196/11548

Tsafnat G; Glasziou P; Karystianis G; Coiera E, 2018, 'Automated screening of research studies for systematic reviews using study characteristics', Systematic reviews, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 5, http://dx.doi.org/10.1186/2041-1480-5-22

Karystianis G; Adily A; Schofield PW; 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 (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, 'Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (Preprint)', , http://dx.doi.org/10.2196/preprints.11548

Karystianis G; Adily A; Schofield P; Knight L; Galdon C; Greenberg D; Jorm L; Nenadic G; Butler T, '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; Simpson A; Adily A; Schofield P; Greenberg D; Wand H; Nenadic G; Butler T, 'Prevalence of Text Mined Mental Illnesses in Domestic Violence Police Records: text mining study (Preprint)', , http://dx.doi.org/10.2196/preprints.23725

Conference Papers

Liptrot T; Karystianis G; Nenadic G; Keane J; Livsey J; Barker-Hewitt M; O'Hara C, 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, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000355736600029&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1


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