Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning. - Berk Ozturk; Tom Lawton; Stephen Smith; Ibrahim Habli (MIE, 2023)

The Impact of Training Data Shortfalls on Safety of AI-Based Clinical Decision Support Systems. - Philippa Ryan Conmy; Berk Ozturk; Tom Lawton; Ibrahim Habli (SAFECOMP, 2023)

Balancing Acts: Tackling Data Imbalance in Machine Learning for Predicting Myocardial Infarction in Type 2 Diabetes. - Berk Ozturk; Tom Lawton; Stephen Smith; Ibrahim Habli (MIE, 2024)

Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle. - Marten H. L. Kaas; Christopher Burr; Zoë Porter; Berk Ozturk; Philippa Ryan; Michael A. Katell; Nuala Polo; Kalle Westerling; Ibrahim Habli (CoRR, 2024)

Does Not Impute! Performance and Ethical Implications of Missing Data for an AI-Based Diabetes Co-morbidity Predictor. - Philippa Ryan; Berk Ozturk; Laura Fearnley; Tom Lawton; Ibrahim Habli (SAFECOMP (Workshops), 2025)

Efficient Tree Generation for Globally Optimal Decisions under Probabilistic Outcomes. - Berk Ozturk; She'ifa Z. Punla-Green; Les Servi (CoRR, 2025)