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


ABSTRACT: 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.

SUBMITTER: Karanam A 

PROVIDER: S-EPMC8274548 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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

Karanam Athresh A   Hayes Alexander L AL   Kokel Harsha H   Haas David M DM   Radivojac Predrag P   Natarajan Sriraam S  

Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ) 20210608


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. ...[more]

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