George Karystianis

发表

Increasing efficiency of preclinical research by group sequential designs

J. Ioannidis, U. Dirnagl, U. Grittner, 2017, PLoS biology.

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study (Preprint)

H. Wand, T. Butler, D. Greenberg, 2020 .

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study

H. Wand, T. Butler, P. Schofield, 2020, Journal of medical Internet research.

Automatic Extraction of Mental Health Disorders From Domestic Violence Police Narratives: Text Mining Study

G. Nenadic, L. Jorm, T. Butler, 2018, Journal of medical Internet research.

Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study

G. Nenadic, T. Butler, P. Schofield, 2019, Journal of medical Internet research.

Mental illness concordance between hospital clinical records and mentions in domestic violence police narratives: Data linkage study (Preprint)

P. Schofield, A. Adily, Goran Nenadic, 2022, JMIR Formative Research.

Bias in the reporting of sex and age in biomedical research on mouse models

R. Stevens, A. Brass, G. Nenadic, 2016, eLife.

Nonfatal Strangulation During Domestic Violence Events in New South Wales: Prevalence and Characteristics Using Text Mining Study of Police Narratives

T. Butler, Mandy Wilson, George Karystianis, 2021, Violence against women.

Automated screening of research studies for systematic reviews using study characteristics

Enrico Coiera, Guy Tsafnat, Paul Glasziou, 2018, Systematic Reviews.

Using local lexicalized rules to identify heart disease risk factors in clinical notes

Goran Nenadic, Aleksandar Kovacevic, John A. Keane, 2015, J. Biomed. Informatics.

Mining characteristics of epidemiological studies from Medline: a case study in obesity

Goran Nenadic, Iain E. Buchan, George Karystianis, 2014, J. Biomed. Semant..

Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records

H. Wand, T. Butler, P. Schofield, 2022, Frontiers in Psychiatry.

Extraction and representation of key characteristics from epidemiological literature

George Karystianis, George Karystianis, 2014 .

An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study

T. Butler, M. V. van Leeuwen, I. Buchan, 2022, Interactive journal of medical research.

A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records

G. Nenadic, T. Butler, O. Flórez-Vargas, 2019, JAMIA open.

Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews

Guy Tsafnat, Kristina Thayer, Mary Wolfe, 2017, J. Biomed. Informatics.

Combining knowledge- and data-driven methods for de-identification of clinical narratives

Goran Nenadic, Aleksandar Kovacevic, John A. Keane, 2015, J. Biomed. Informatics.

Automatic mining of symptom severity from psychiatric evaluation notes

Goran Nenadic, Chi-Hun Kim, Azad Dehghan, 2017, International journal of methods in psychiatric research.

Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study (Preprint)

G. Nenadic, T. Butler, P. Schofield, 2018 .

Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database

Goran Nenadic, William G. Dixon, George Karystianis, 2015, BMC Medical Informatics and Decision Making.

An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study

George Karystianis, N. Ginnivan, Wilson Lukmanjaya, 2024, BMC medical research methodology.