George Christopher Karystianis
George Christopher Karystianis
Research Fellow in the University of New South Wales
Verified email at kirby.unsw.edu.au
Title
Cited by
Cited by
Year
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
582016
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
502015
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
262016
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
212015
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
182017
Mining characteristics of epidemiological studies from Medline: a case study in obesity
G Karystianis, I Buchan, G Nenadic
Journal of biomedical semantics 5 (1), 22, 2014
132014
Automated screening of research studies for systematic reviews using study characteristics
G Tsafnat, P Glasziou, G Karystianis, E Coiera
Systematic reviews 7 (1), 64, 2018
102018
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
102018
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
92017
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
72017
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
62018
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
32019
QOI8/456: Quality Criteria for Electronic Publications in Medicine
S Schulz, T Auhuber, U Schrader, A Koop, R Kreutz, R Oppermann, ...
Journal of Medical Internet Research 1 (suppl1), e101, 1999
2*1999
Correction: 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 21 (4), e13007, 2019
12019
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
2020
A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records
G Karystianis, O Florez-Vargas, T Butler, G Nenadic
JAMIA open 2 (4), 521-527, 2019
2019
Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study (vol 20, e11548, 2018)
G Karystianis, A Adily, P Schofield, L Knight, C Galdon, D Greenberg, ...
JOURNAL OF MEDICAL INTERNET RESEARCH 21 (4), 2019
2019
A text-mining strategy for assessing the reporting across biomedical research
O Flórez-Vargas, A Brass, G Karystianis, M Bramhall, R Stevens, ...
DEVELOPMENT OF STRATEGIES FOR ASSESSING REPORTING IN BIOMEDICAL RESEARCH …, 2016
2016
Using natural language processing to automatically extract cancer outcomes data from clinical notes
T Liptrot, G Karystianis, G Nenadic, JA Keane, J Livsey, M Barker-Hewitt, ...
European journal of cancer care 24 (Suppl 1), 11, 2015
2015
Extraction and representation of key characteristics from epidemiological literature
G Karystianis
The University of Manchester, Manchester, UK, 2014
2014
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Articles 1–20