Discovering sequential patterns in a UK general practice database. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (BHI, 2012)

Comparing data-mining algorithms developed for longitudinal observational databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (UKCI, 2012)

Attributes for causal inference in electronic healthcare databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CBMS, 2013)

Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database. - Jenna Reps; Jan Feyereisl; Jonathan M. Garibaldi; Uwe Aickelin; Jack E. Gibson; Richard B. Hubbard (CoRR, 2013)

Comparison of algorithms that detect drug side effects using electronic healthcare databases. - Jenna Marie Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (Soft Comput., 2013)

A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

Attributes for Causal Inference in Longitudinal Observational Databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. - Jenna Marie Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (IEEE J. Biomed. Health Informatics, 2014)

A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations. - Jenna Marie Reps; Jonathan M. Garibaldi; Uwe Aickelin; Jack E. Gibson; Richard B. Hubbard (J. Biomed. Informatics, 2015)

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. - Jenna Marie Reps; Uwe Aickelin; Richard B. Hubbard (Comput. Biol. Medicine, 2016)

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends. - Abeer Alzubaidi; Jaspreet Kaur; Mufti Mahmud; David J. Brown 001; Jun He 004; Graham R. Ball; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (AII, 2021)

Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. - Teena Rai; Yuan Shen; Jaspreet Kaur; Jun He 004; Mufti Mahmud; David J. Brown 001; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (AIME, 2023)

Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data. - Yuan Shen; Mufti Mahmud; Teena Rai; Jun He 004; David J. Brown 001; Muhammad Arifur Rahman; Jaspreet Kaur; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (ICONIP (5), 2024)

Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data. - Teena Rai; Yuan Shen; Jun He 004; Mufti Mahmud; David J. Brown 001; Jaspreet Kaur; Emma O'Dowd; David R. Baldwin; Richard B. Hubbard (IJCNN, 2024)