Zane Perkins

According to our database, Zane Perkins authored at least 11 papers between 2013 and 2025.

Collaborative distances:

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

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, Alexander Gimson, Ali Shafti, Ari Ercole, Amitava Banerjee, Ben Glocker, Burkhard Schafer, Constantine Gatsonis, Crina Grosan, Danielle Sent, David S. Berman, David Glass, Declan P. O'Regan, Dimitrios Letsios, Dylan Morrissey, Erhan Pisirir, Francesco Leofante, Hamit Soyel, Jon Williamson, Keri Grieman, Kudakwashe Dube, Max Marsden, Myura Nagendran, Nigel Tai, Olga Kostopoulou, Owain Jones, Paul Curzon, Rebecca S. Stoner, Sankalp Tandle, Shalmali Joshi, Somayyeh Mossadegh, Stefan Buijsman, Tim Miller, Vince Istvan Madai

AI Ethics, August, 2025

Presenting predictions and performance of probabilistic models for clinical decision support in trauma care.

Cansu Alptekin, Jared M. Wohlgemut, Zane B. Perkins, William Marsh, Nigel R. M. Tai, Barbaros Yet

Int. J. Medical Informatics, 2025

2024

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, Nigel R. M. Tai

J. Biomed. Informatics, January, 2024

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, ExAIDSS Expert Group

CoRR, 2024

2023

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

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2018

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

2017

Clinical evidence framework for Bayesian networks.

Barbaros Yet, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh

Knowl. Inf. Syst., 2017

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

Not just data: A method for improving prediction with knowledge.

Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh

J. Biomed. Informatics, 2014

Explicit Evidence for Prognostic Bayesian Network Models.

Barbaros Yet, Zane Perkins, Nigel Tai, William Marsh

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

2013

Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care.

Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton

Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013