Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. - Barbaros Yet; William Marsh 001; Zane Perkins; Nigel Tai; Norman E. Fenton (UAI Application Workshops, 2013)

Explicit Evidence for Prognostic Bayesian Network Models. - Barbaros Yet; Zane Perkins; Nigel Tai; William Marsh 001 (MIE, 2014)

Not just data: A method for improving prediction with knowledge. - Barbaros Yet; Zane Perkins; Norman E. Fenton; Nigel Tai; William Marsh 001 (J. Biomed. Informatics, 2014)

Combining data and meta-analysis to build Bayesian networks for clinical decision support. - Barbaros Yet; Zane B. Perkins; Todd E. Rasmussen; Nigel R. M. Tai; D. William R. Marsh (J. Biomed. Informatics, 2014)

Clinical evidence framework for Bayesian networks. - Barbaros Yet; Zane B. Perkins; Nigel R. M. Tai; D. William R. Marsh (Knowl. Inf. Syst., 2017)

Development of a discrete event simulation model for evaluating strategies of red blood cell provision following mass casualty events. - Simon M. Glasgow; Zane B. Perkins; Nigel R. M. Tai; Karim Brohi; Christos Vasilakis (Eur. J. Oper. Res., 2018)

An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. - Evangelia Kyrimi; Somayyeh Mossadegh; Nigel Tai; William Marsh 001 (Artif. Intell. Medicine, 2020)

An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making. - Evangelia Kyrimi; Somayyeh Mossadegh; Nigel Tai; William Marsh 001 (CoRR, 2020)

A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. - Erhan Pisirir; Jared M. Wohlgemut; Evangelia Kyrimi; Rebecca S. Stoner; Zane B. Perkins; Nigel R. M. Tai; D. William R. Marsh (ICHI, 2023)

Updating and recalibrating causal probabilistic models on a new target population. - Evangelia Kyrimi; Rebecca S. Stoner; Zane B. Perkins; Erhan Pisirir; Jared M. Wohlgemut; William Marsh 001; Nigel R. M. Tai (J. Biomed. Informatics, 2024)

Presenting predictions and performance of probabilistic models for clinical decision support in trauma care. - Cansu Alptekin; Jared M. Wohlgemut; Zane B. Perkins; William Marsh 001; Nigel R. M. Tai; Barbaros Yet (Int. J. Medical Informatics, 2025)

Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool. - Evangelia Kyrimi; Somayyeh Mossadegh; Jared M. Wohlgemut; Rebecca S. Stoner; Nigel R. M. Tai; William Marsh 001 (Int. J. Medical Informatics, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)