A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes

摘要

Qualitative influence statements are often provided a priori to guide learning; we answer a challenging reverse task and automatically extract them from a learned probabilistic model. We apply our Qualitative Knowledge Extraction method toward early prediction of gestational diabetes on clinical study data. Our empirical results demonstrate that +the extracted rules are both interpretable and valid.