55 citations · 157 across the 14 of their papers we have counts for
4 papers · 1 filter
Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective
Koen M. F. Gorgels, Lasai Barreñada, Maarten van Smeden +3
Objective Prediction models are commonly trained using objectives such as Bernoulli negative log-likelihood (NLL), although downstream clinical decisions may depend on specific ris…
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
Ben Van Calster, Gary S. Collins, Andrew J. Vickers +11
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is…
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund +7
Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individua…
The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach
Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson +6
When a patient is admitted to the intensive care unit (ICU) after a traumatic brain injury (TBI), an early prognosis is essential for baseline risk adjustment and shared decision m…