George Karystianis

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Goran NenadicDepartment of Computer Science, University of ManchesterE-mail confirmado em manchester.ac.uk
Tony Gerard ButlerUniversity of New South Wales, School of Population HealthE-mail confirmado em unsw.edu.au
Armita AdilyLecturer, University of New South WalesE-mail confirmado em unsw.edu.au
Aleksandar KovacevicFull Professor, Faculty of Technical Sciences, University of Novi SadE-mail confirmado em uns.ac.rs
Iain BuchanProfessor of Public Health and Clinical Informatics, Associate Pro Vice Chancellor for InnovationE-mail confirmado em liverpool.ac.uk
Oscar Flórez-VargasNational Institutes of Health [NIH/NCI]E-mail confirmado em nih.gov
Wilson LukmanjayaUniversity of New South WalesE-mail confirmado em unsw.edu.au
Louisa JormProfessor and Director, Centre for Big Data Research in Health, UNSW AustraliaE-mail confirmado em unsw.edu.au
Michael BramhallNo current affiliationE-mail confirmado em uowmail.edu.au
Robert StevensProfessor of Computer Science, Department of Computer Science, university of manchesterE-mail confirmado em manchester.ac.uk
andy brassProfessor of Bioinformatics, School of Health Sciences, University of ManchesterE-mail confirmado em manchester.ac.uk
Sheena CruickshankSenior Lecturer in Immunology, University of ManchesterE-mail confirmado em manchester.ac.uk
Guy TsafnatSenior Research Fellow, Centre for Health Informatics, Macquarie UniversityE-mail confirmado em mq.edu.au
Lee KnightClinical Coordinator University of New South WalesE-mail confirmado em kirby.unsw.edu.au
Ye In (Jane) HwangUniversity of New South WalesE-mail confirmado em unsw.edu.au
Enrico CoieraMacquarie UniversityE-mail confirmado em mq.edu.au
Paul GlasziouCREBP, Bond University, Gold Coast, AustraliaE-mail confirmado em bond.edu.au
Will DixonThe University of ManchesterE-mail confirmado em manchester.ac.uk
Ulrike GrittnerBiostatistician, Charité- Universitätsmedizin Berlin, GermanyE-mail confirmado em charite.de
Bob Siegerinkdept clinical epidemiologyE-mail confirmado em lumc.nl

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George Karystianis

Research Fellow in the University of New South Wales

E-mail confirmado em unsw.edu.au

text mining natural language processing epidemiology justice health domestic violence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Bias in the reporting of sex and age in biomedical research on mouse models O Flórez-Vargas, A Brass, G Karystianis, M Bramhall, R Stevens, ... Elife 5, e13615, 2016	120	2016
Combining knowledge-and data-driven methods for de-identification of clinical narratives A Dehghan, A Kovacevic, G Karystianis, JA Keane, G Nenadic Journal of biomedical informatics 58, S53-S59, 2015	80	2015
Automated analysis of domestic violence police reports to explore abuse types and victim injuries: Text mining study G Karystianis, A Adily, PW Schofield, D Greenberg, L Jorm, G Nenadic, ... Journal of medical Internet research 21 (3), e13067, 2019	57	2019
Automated screening of research studies for systematic reviews using study characteristics G Tsafnat, P Glasziou, G Karystianis, E Coiera Systematic reviews 7, 1-9, 2018	49	2018
Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database G Karystianis, WD Dixton, T Shepperd, G Nenadic BMC Medical Informatics and Decision Making, 2016	48	2016
Increasing efficiency of preclinical research by group sequential designs K Neumann, U Grittner, SK Piper, A Rex, O Florez-Vargas, G Karystianis, ... PLoS biology 15 (3), e2001307, 2017	43	2017
Automatic extraction of mental health disorders from domestic violence police narratives: text mining study G Karystianis, A Adily, P Schofield, L Knight, C Galdon, D Greenberg, ... Journal of medical internet research 20 (9), e11548, 2018	41	2018
Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews G Karystianis, K Thayer, M Wolfe, G Tsafnat Journal of biomedical informatics 70, 27-34, 2017	35	2017
Automatic mining of symptom severity from psychiatric evaluation notes G Karystianis, AJ Nevado, CH Kim, A Dehghan, JA Keane, G Nenadic International journal of methods in psychiatric research 27 (1), e1602, 2018	31	2018
Using local lexicalized rules to identify heart disease risk factors in clinical notes G Karystianis, A Dehghan, A Kovacevic, JA Keane, G Nenadic Journal of biomedical informatics 58, S183-S188, 2015	31	2015
Mining characteristics of epidemiological studies from Medline: a case study in obesity G Karystianis, I Buchan, G Nenadic Journal of biomedical semantics 5, 1-11, 2014	24	2014
Prevalence of mental illnesses in domestic violence police records: Text mining study G Karystianis, A Simpson, A Adily, P Schofield, D Greenberg, H Wand, ... Journal of medical internet research 22 (12), e23725, 2020	23	2020
Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records G Karystianis, A Adily, H Schofield, PW, Wand, W Lukmanjaya, I Buchan, ... Frontiers in Psychiatry, 2022	14	2022
Learning to identify protected health information by integrating knowledge-and data-driven algorithms: a case study on psychiatric evaluation notes A Dehghan, A Kovacevic, G Karystianis, JA Keane, G Nenadic Journal of biomedical informatics 75, S28-S33, 2017	14	2017
Domestic violence events involving autism: a text mining study of police records in New South Wales, 2005-2016 YI Hwang, L Zheng, G Karystianis, V Gibbs, K Sharp, T Butler Research in Autism Spectrum Disorders 78, 101634, 2020	12	2020
Domestic violence in residential care facilities in New South Wales, Australia: a text mining study A Withall, G Karystianis, D Duncan, YI Hwang, AH Kidane, T Butler The Gerontologist 62 (2), 223-231, 2022	11	2022
Utilizing text mining, data linkage and deep learning in police and health records to predict future offences in family and domestic violence G Karystianis, RC Cabral, C Han, J Poon, T Butler Frontiers in Digital Health 3, 4, 2021	11	2021
Nonfatal strangulation during domestic violence events in new south wales: prevalence and characteristics using text mining study of police narratives M Wilson, E Spike, G Karystianis, T Butler Violence against women 28 (10), 2259-2285, 2022	8	2022
Text mining police narratives to identify types of abuse and victim injuries in family and domestic violence events G Karystianis, A Adily, T Butler Trends and Issues in Crime and Criminal Justice [electronic resource], 1-12, 2021	6*	2021
Text mining domestic violence police narratives to identify behaviours linked to coercive control G Karystianis, N Chowdhury, L Sheridan, S Reutens, S Wade, S Allnutt, ... Crime Science 13 (1), 2, 2024	5	2024

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