Browsing Electronic Engineering and Computer Science by Author "Tai, NRM"
Now showing items 1-6 of 6
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Clinical evidence framework for Bayesian networks
Yet, B; Perkins, ZB; Tai, NRM; Marsh, DWR (2017-01) -
Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients
Wohlgemut, JM; Marsden, MER; Stoner, RS; Pisirir, E; Kyrimi, E; Grier, G; Christian, M; Hurst, T; Marsh, W; Tai, NRM (2023) -
Enhancing the clinical relevance of haemorrhage prediction models in trauma
Tandle, S; Wohlgemut, JM; Marsden, MER; Pisirir, E; Kyrimi, E; Stoner, RS; Marsh, W; Perkins, ZB; Tai, NRM (BMC, 2023-09-20) -
Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome.
Wohlgemut, JM; Pisirir, E; Stoner, RS; Kyrimi, E; Christian, M; Hurst, T; Marsh, W; Perkins, ZB; Tai, NRM (BMJ Publishing Group, 2024-01-12)BACKGROUND: Hemorrhage is the most common cause of potentially preventable death after injury. Early identification of patients with major hemorrhage (MH) is important as treatments are time-critical. However, diagnosis ... -
The outcome of a prediction algorithm should be a true patient state rather than an available surrogate
Wohlgemut, JM; Kyrimi, E; Stoner, RS; Pisirir, E; Marsh, W; Perkins, ZB; Tai, NRM (2022) -
A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models
Pisirir, E; Wohlgemut, JM; Kyrimi, E; Stoner, RS; Perkins, ZB; Tai, NRM; Marsh, DWR (IEEE, 2023-01-01)This study proposes a process to generate and validate algorithmic explanations for the reasoning of an AI prediction model, implemented using a Bayesian network (BN). The intention of the generated explanations is to ...