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Karystianis, George 
ORCID: 0000-0003-3491-361X, Lukmanjaya, Wilson ORCID: 0000-0002-7747-4648, Simpson, Paul ORCID: 0000-0002-1947-8923, Schofield, Peter ORCID: 0000-0003-2967-9662, Ginnivan, Natasha ORCID: 0000-0002-8581-6812, Nenadic, Goran ORCID: 0000-0003-0795-5363, van Leeuwen, Marina ORCID: 0000-0002-1570-2852, Buchan, Iain ORCID: 0000-0003-3392-1650 and Butler, Tony ORCID: 0000-0002-2679-2769
(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 (2).
e42891-.
Arguello-Casteleiro, Mercedes, Stevens, Robert, Des-Diz, Julio, Wroe, Chris, Fernandez-Prieto, Maria Jesus, Maroto, Nava, Maseda-Fernandez, Diego, Demetriou, George, Peters, Simon, Noble, Peter-John M et al (show 5 more authors)
(2019)
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.
JOURNAL OF BIOMEDICAL SEMANTICS, 10 (Suppl ).
22-.
Karystianis, George, Cabral, Rina Carines, Adily, Armita, Lukmanjaya, Wilson, Schofield, Peter, Buchan, Iain ORCID: 0000-0003-3392-1650, Nenadic, Goran and Butler, Tony
(2022)
Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study.
JMIR formative research, 6 (10).
e39373-e39373.
Newman, J
(2018)
Real-time classifiers from free-text for continuous surveillance of small animal disease.
PhD thesis, University of Liverpool.
Karystianis, George, Adily, Armita, Schofield, Peter W, Wand, Handan, Lukmanjaya, Wilson, Buchan, Iain ORCID: 0000-0003-3392-1650, Nenadic, Goran and Butler, Tony
(2022)
Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records.
FRONTIERS IN PSYCHIATRY, 12.
787792-.
Noble, Peter-John Mantyla, Appleton, Charlotte, Radford, Alan David ORCID: 0000-0002-4590-1334 and Nenadic, Goran
(2021)
Using topic modelling for unsupervised annotation of electronic health records to identify an outbreak of disease in UK dogs.
PLOS ONE, 16 (12).
e0260402-.