Discriminative boosted Bayes networks for learning multiple cardiovascular procedures

Nandini Ramanan, Shuo Yang, Shaun Grannis, Sriraam Natarajan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the problem of predicting three procedures, viz, EKG, Angioplasty and Valve Replacement procedures jointly from Electronic Health Records (EHR) and develop a discriminative boosted Bayesian network algorithm. Differences between our proposed approach and standard Bayes Net structure learners are (1) we do not assume that the number of features (observations) are uniform across training examples and (2) our method explicitly handles the precision-recall tradeoff. Our empirical evaluations on a real EHR data demonstrates the superiority of this proposed approach to learning these procedures individually.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages870-873
Number of pages4
Volume2017-January
ISBN (Electronic)9781509030491
DOIs
StatePublished - Dec 15 2017
Externally publishedYes
Event2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Duration: Nov 13 2017Nov 16 2017

Other

Other2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
CountryUnited States
CityKansas City
Period11/13/1711/16/17

Fingerprint

Health
Learning
Electronic Health Records
Bayesian networks
Electrocardiography
Angioplasty

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Ramanan, N., Yang, S., Grannis, S., & Natarajan, S. (2017). Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. In Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 (Vol. 2017-January, pp. 870-873). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2017.8217770

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. / Ramanan, Nandini; Yang, Shuo; Grannis, Shaun; Natarajan, Sriraam.

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 870-873.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ramanan, N, Yang, S, Grannis, S & Natarajan, S 2017, Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. in Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 870-873, 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, United States, 11/13/17. https://doi.org/10.1109/BIBM.2017.8217770
Ramanan N, Yang S, Grannis S, Natarajan S. Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. In Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 870-873 https://doi.org/10.1109/BIBM.2017.8217770
Ramanan, Nandini ; Yang, Shuo ; Grannis, Shaun ; Natarajan, Sriraam. / Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 870-873
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