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

Publication ,  Conference
Weiss, JC; Page, D; Peissig, PL; Natarajan, S; McCarty, C
Published in: Proc Innov Appl Artif Intell Conf
2012

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.

Duke Scholars

Published In

Proc Innov Appl Artif Intell Conf

ISSN

2154-8080

Publication Date

2012

Volume

2012

Start / End Page

2341 / 2347

Location

United States
 

Citation

APA
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ICMJE
MLA
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Weiss, J. C., Page, D., Peissig, P. L., Natarajan, S., & McCarty, C. (2012). Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. In Proc Innov Appl Artif Intell Conf (Vol. 2012, pp. 2341–2347). United States.
Weiss, Jeremy C., David Page, Peggy L. Peissig, Sriraam Natarajan, and Catherine McCarty. “Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.” In Proc Innov Appl Artif Intell Conf, 2012:2341–47, 2012.
Weiss JC, Page D, Peissig PL, Natarajan S, McCarty C. Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. In: Proc Innov Appl Artif Intell Conf. 2012. p. 2341–7.
Weiss, Jeremy C., et al. “Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.Proc Innov Appl Artif Intell Conf, vol. 2012, 2012, pp. 2341–47.
Weiss JC, Page D, Peissig PL, Natarajan S, McCarty C. Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. Proc Innov Appl Artif Intell Conf. 2012. p. 2341–2347.

Published In

Proc Innov Appl Artif Intell Conf

ISSN

2154-8080

Publication Date

2012

Volume

2012

Start / End Page

2341 / 2347

Location

United States