Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes
Saurabh Mathur, Athresh Karanam, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan · 2022
We 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.