Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes. - Diana Shamsutdinova; Daniel Stamate; Angus Roberts; Daniel Stahl (AIAI (2), 2022)

Sample Size in Natural Language Processing within Healthcare Research. - Jaya Chaturvedi; Diana Shamsutdinova; Felix Zimmer; Sumithra Velupillai; Daniel Stahl; Robert Stewart 002; Angus Roberts (CoRR, 2023)

Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population. - Diana Shamsutdinova; Jayati Das-Munshi; Mark Ashworth; Angus Roberts; Daniel Stahl (Int. J. Medical Informatics, 2023)

Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction. - Diana Shamsutdinova; Daniel Stamate; Daniel Stahl (Int. J. Medical Informatics, 2025)