Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics

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Improving the accuracy of medical diagnosis with causal machine learning (2020, methodology): “Noisy-OR models are routinely used for modelling in medicine, as they re ﬂ ect basic intuitions about how diseases and symptoms are related 65,66 .”
Bayesian Artificial Intelligence (2004, background): “We note that divorcing may also be used for purposes other than reducing the number of parameters, such as dealing with overconfidence [209].”
Machine learning for detection and diagnosis of disease. (2006, background): “They are attractive because they are able to deal with biomedical data that is incomplete or partially correct (100).”