Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records

• DOI: 10.1609/aaai.v26i2.18981
• Publication Date: 2022-06-22T21:22:39Z
• Authors: Jeremy Weiss; David Page; Sriraam Natarajan; Peggy Peissig; Catherine McCarty
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 3. Good health

Electronic health records (EHRs) are an emerging relational domain with large potential to improve clinical outcomes. We apply two statistical relational learning (SRL) algorithms to the task of predicting primary myocardial infarction. We show that one SRL algorithm, relational functional gradient boosting, outperforms propositional learners particularly in the medically-relevant high recall region. We observe that both SRL algorithms predict outcomes better than their propositional analogs and suggest how our methods can augment current epidemiological practices.