Artificial intelligence in medicineHumansBayes TheoremMachine LearningDecision Support SystemsClinical
Integrating probabilistic trees and causal networks for clinical and epidemiological data.
Sheresh Zahoor, Pietro Liò, Gaël Dias, Mohammed Hasanuzzaman
Published: 202610.1016/j.artmed.2026.103350
Abstract
Healthcare decision-making requires not only accurate predictions but also insights into how factors influence patient outcomes. While traditional machine learning (ML) models excel at predicting outcomes, such as identifying high-risk patients, they…
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