MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation. - Thomas Searle; Zeljko Kraljevic; Rebecca Bendayan; Daniel Bean; Richard J. B. Dobson (EMNLP/IJCNLP (3), 2019)

MedCAT - Medical Concept Annotation Tool. - Zeljko Kraljevic; Daniel Bean; Aurelie Mascio; Lukasz Roguski; Amos Folarin; Angus Roberts; Rebecca Bendayan; Richard J. B. Dobson (CoRR, 2019)

Comparative Analysis of Text Classification Approaches in Electronic Health Records. - Aurelie Mascio; Zeljko Kraljevic; Daniel Bean; Richard J. B. Dobson; Robert Stewart 002; Rebecca Bendayan; Angus Roberts (BioNLP, 2020)

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. - Rebecca Bendayan; Honghan Wu; Zeljko Kraljevic; Robert Stewart 002; Tom Searle; Jaya Chaturvedi; Jayati Das-Munshi; Zina M. Ibrahim; Aurelie Mascio; Angus Roberts; Daniel Bean; Richard J. B. Dobson (CoRR, 2020)

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (CoRR, 2020)

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. - Zeljko Kraljevic; Thomas Searle; Anthony Shek; Lukasz Roguski; Kawsar Noor; Daniel Bean; Aurelie Mascio; Leilei Zhu; Amos A. Folarin; Angus Roberts; Rebecca Bendayan; Mark P. Richardson; et al. (Artif. Intell. Medicine, 2021)

MedGPT: Medical Concept Prediction from Clinical Narratives. - Zeljko Kraljevic; Anthony Shek; Daniel Bean; Rebecca Bendayan; James T. Teo; Richard J. B. Dobson (CoRR, 2021)

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. - Honghan Wu; Huayu Zhang; Andreas Karwath; Zina M. Ibrahim; Ting Shi; Xin Zhang; Kun Wang; Jiaxing Sun; Kevin Dhaliwal; Daniel Bean; Victor Roth Cardoso; Kezhi Li; et al. (J. Am. Medical Informatics Assoc., 2021)

DGLinker: flexible knowledge-graph prediction of disease-gene associations. - Jiajing Hu; Rosalba Lepore; Richard J. B. Dobson; Ammar Al-Chalabi; Daniel Bean; Alfredo Iacoangeli (Nucleic Acids Res., 2021)

CogStack Cohort at TREC 2022 Clinical Trials Track. - Jack Wu; Zeljko Kraljevic; Thomas Searle; Daniel Bean; Richard J. B. Dobson (TREC, 2022)

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records. - Zeljko Kraljevic; Daniel Bean; Anthony Shek; Rebecca Bendayan; Joshua Au Yeung; Alexander Deng; Alfie Baston; Jack Ross; Esther Idowu; James T. Teo; Richard J. B. Dobson (CoRR, 2022)

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. - Zina M. Ibrahim; Daniel Bean; Thomas Searle; Linglong Qian; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T. Teo; Richard J. B. Dobson (IEEE J. Biomed. Health Informatics, 2022)

Large Language Models for Medical Forecasting - Foresight 2. - Zeljko Kraljevic; Joshua Au Yeung; Daniel Bean; James T. Teo; Richard J. B. Dobson (CoRR, 2024)

Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. - Marco Postiglione; Daniel Bean; Zeljko Kraljevic; Richard J. B. Dobson; Vincenzo Moscato (IEEE J. Biomed. Health Informatics, 2024)