Multivariate Conditional Anomaly Detection and Its Clinical Application

Charmgil Hong; Milos Hauskrecht

doi:10.1609/aaai.v29i1.9263

Multivariate Conditional Anomaly Detection and Its Clinical Application

Authors

Charmgil Hong University of Pittsburgh
Milos Hauskrecht University of Pittsburgh

DOI:

https://doi.org/10.1609/aaai.v29i1.9263

Keywords:

Multivariate conditional anomaly detection, Multi-dimensional models

Abstract

This paper overviews the background, goals, past achievements and future directions of our research that aims to build a multivariate conditional anomaly detection framework for the clinical application.

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Published

2015-03-04

How to Cite

Hong, C., & Hauskrecht, M. (2015). Multivariate Conditional Anomaly Detection and Its Clinical Application. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9263