ML Anthology

Multivariate Conditional Anomaly Detection and Its Clinical Application

Charmgil Hong, Milos Hauskrecht
AAAI 2015 pp. 4239-4240
doi:10.1609/AAAI.V29I1.9263 /aaai/2015/hong2015aaai-multivariate/

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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Cite

Text

Hong and Hauskrecht. "Multivariate Conditional Anomaly Detection and Its Clinical Application." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9263

Markdown

[Hong and Hauskrecht. "Multivariate Conditional Anomaly Detection and Its Clinical Application." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/hong2015aaai-multivariate/) doi:10.1609/AAAI.V29I1.9263

BibTeX

@inproceedings{hong2015aaai-multivariate,
  title     = {{Multivariate Conditional Anomaly Detection and Its Clinical Application}},
  author    = {Hong, Charmgil and Hauskrecht, Milos},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4239-4240},
  doi       = {10.1609/AAAI.V29I1.9263},
  url       = {https://mlanthology.org/aaai/2015/hong2015aaai-multivariate/}
}