Multivariate Conditional Anomaly Detection and Its Clinical Application

Autor:	Charmgil Hong, Milos Hauskrecht
Rok vydání:	2015
Předmět:	General Medicine
Zdroj:	Proceedings of the AAAI Conference on Artificial Intelligence. 29
ISSN:	2374-3468 2159-5399
DOI:	10.1609/aaai.v29i1.9263
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8fe1a53268151a7aa061ba0b701140b2 https://doi.org/10.1609/aaai.v29i1.9263 Zobrazit plný text záznamu