Richard B. Hubbard

According to our database, Richard B. Hubbard authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data.

Teena Rai, Yuan Shen, Jun He, Mufti Mahmud, David J. Brown, Jaspreet Kaur, Emma O'Dowd, David R. Baldwin, Richard B. Hubbard

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

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, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

Proceedings of the Artificial Intelligence in Medicine, 2023

2021

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.

Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

AII, 2021

2016

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

2015

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

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

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

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

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

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

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

Attributes for causal inference in electronic healthcare databases.

Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

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

Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Discovering sequential patterns in a UK general practice database.

Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012