Toward Normative Expert Systems: Part II Probability-Based Representations for Efficient Knowledge Acquisition and Inference

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Bayesian Structure Learning with Generative Flow Networks (2022, background): “…choice for representing uncertainty about the world in multiple scientiﬁc domains, including medical diagnosis (Lau-ritzen and Spiegelhalter, 1988; Heckerman and Nathwani, 1992), molecular biology (Friedman, 2004; Sebastiani et al., 2005), and ecological modeling (Varis and Kuikka, 1999; Marcot…”
Improving the accuracy of medical diagnosis with causal machine learning (2020, methodology): “While our results will be derived for these models, they can be simply extended to models with more or less complicated dependencies 19,61 .”
Bayesian networks in biomedicine and health-care (2004, background): “Many of the Bayesian networks developed to date for real-life applications in biomedicine and health-care have been constructed by hand [2] [3] [17] [21] [22] [31] [32].”