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

Autor:	Weiss, J. C., Page, D., Natarajan, S., Peissig, P. L., Catherine McCarty
Rok vydání:	2012
Předmět:	General Medicine Article
Zdroj:	Scopus-Elsevier
ISSN:	2374-3468 2159-5399
DOI:	10.1609/aaai.v26i2.18981
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed2801e0a7447b5b3d8e8f43dd7c8068 https://doi.org/10.1609/aaai.v26i2.18981 Zobrazit plný text záznamu