Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records
Publication
, Journal Article
Weiss, JC; Natarajan, S; Peissig, PL; McCarty, CA; Page, D
Published in: AI Magazine
January 1, 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. Copyright © 2012, Association for the Advancement of Artificial Intelligence.
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Published In
AI Magazine
DOI
ISSN
0738-4602
Publication Date
January 1, 2012
Volume
33
Issue
4
Start / End Page
33 / 45
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4602 Artificial intelligence
- 1702 Cognitive Sciences
- 0801 Artificial Intelligence and Image Processing
Citation
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Weiss, J. C., Natarajan, S., Peissig, P. L., McCarty, C. A., & Page, D. (2012). Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records. AI Magazine, 33(4), 33–45. https://doi.org/10.1609/aimag.v33i4.2438
Weiss, J. C., S. Natarajan, P. L. Peissig, C. A. McCarty, and D. Page. “Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records.” AI Magazine 33, no. 4 (January 1, 2012): 33–45. https://doi.org/10.1609/aimag.v33i4.2438.
Weiss JC, Natarajan S, Peissig PL, McCarty CA, Page D. Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records. AI Magazine. 2012 Jan 1;33(4):33–45.
Weiss, J. C., et al. “Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records.” AI Magazine, vol. 33, no. 4, Jan. 2012, pp. 33–45. Scopus, doi:10.1609/aimag.v33i4.2438.
Weiss JC, Natarajan S, Peissig PL, McCarty CA, Page D. Machine learning for personalized medicine: Predicting primary myocardial infarction from electronic health records. AI Magazine. 2012 Jan 1;33(4):33–45.
Published In
AI Magazine
DOI
ISSN
0738-4602
Publication Date
January 1, 2012
Volume
33
Issue
4
Start / End Page
33 / 45
Related Subject Headings
- Artificial Intelligence & Image Processing
- 4611 Machine learning
- 4602 Artificial intelligence
- 1702 Cognitive Sciences
- 0801 Artificial Intelligence and Image Processing