Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes
Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes
复制标题
利用领域知识作为妊娠糖尿病建模中的因果独立性
DOI：
10.1142/9789811270611_0033
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发表时间：
2022
影响因子：
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通讯作者：
Sriraam Natarajan
中科院分区：
文献类型：
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作者：
Saurabh Mathur;Athresh Karanam;P. Radivojac;D. Haas;K. Kersting;Sriraam Natarajan
我们考虑在临床研究中模拟妊娠糖尿病的问题，并开发了一个领域专家指导的既可解释又可解释的概率模型。具体来说，我们从一组精心选择的特征中构建了一个基于因果独立性（Noisy-Or）的概率模型。我们在临床研究中验证了模型的有效性，并证明了特征和因果独立模型的重要性。
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.