Multivariate Conditional Outlier Detection and Its Clinical Application

Authors

  • Charmgil Hong University of Pittsburgh
  • Milos Hauskrecht University of Pittsburgh

DOI:

https://doi.org/10.1609/aaai.v30i1.9958

Keywords:

multivariate data modeling, conditional outlier detection, clinical outlier detection

Abstract

This paper overviews and discusses our recent work on a multivariate conditional outlier detection framework for clinical applications.

AAAI 2016 Proceedings Cover

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Published

2016-03-05

How to Cite

Hong, C., & Hauskrecht, M. (2016). Multivariate Conditional Outlier Detection and Its Clinical Application. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9958

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters