Mathur, SaurabhKaranam, AthreshRadivojac, PredragHaas, David M.Kersting, KristianNatarajan, Sriraam2023-10-172023-10-172023Mathur S, Karanam A, Radivojac P, Haas DM, Kersting K, Natarajan S. Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes. Pac Symp Biocomput. 2023;28:359-370.https://hdl.handle.net/1805/36374We consider the problem of modeling gestational diabetes in a clinical study and develop a domain expert-guided probabilistic model that is both interpretable and explainable. Specifically, we construct a probabilistic model based on causal independence (Noisy-Or) from a carefully chosen set of features. We validate the efficacy of the model on the clinical study and demonstrate the importance of the features and the causal independence model.en-USPublisher PolicyProbabilistic modelsBayesian networksGestational diabetesArticle