@inproceedings{4781383a4c5248f999ba0ed07d864c63,
title = "Statistical relational learning to predict primary myocardial infarction from electronic health records",
abstract = "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.",
author = "Weiss, {Jeremy C.} and David Page and Sriraam Natarajan and Peissig, {Peggy L.} and Catherine McCarty",
year = "2012",
language = "English (US)",
isbn = "9781577355687",
series = "Proceedings of the National Conference on Artificial Intelligence",
pages = "2341--2347",
booktitle = "AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference",
note = "26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 ; Conference date: 22-07-2012 Through 26-07-2012",
}