M. Valko, G. Cooper, A. Seybert, S. Visweswaran, M. Saul et al., Hauskrecht: Conditional anomaly detection methods for patient-management alert systems, ICML Workshop on Machine Learning in Health Care, 2008.

M. Valko and M. Hauskrecht, Distance metric learning for conditional anomaly detection, Twenty-First International Florida AI Research Society Conference, 2008.

M. Hauskrecht, M. Valko, B. Kveton, S. Visweswaram, and G. Cooper, Evidence-based Anomaly Detection in Clinical Domains, Annual American Medical Informatics Association conference (AMIA), 2007.
URL : https://hal.archives-ouvertes.fr/hal-00643401

D. M. Green and J. M. Swets, Signal detection theory and psychophysics, 1966.

V. Vapnik, The Nature of Statistical Learning Theory, 1995.

C. J. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998.
DOI : 10.1023/A:1009715923555

K. Morik, P. Brockhausen, and T. Joachims, Combining Statistical Learning with a Knowledge-Based Approach -A Case Study in Intensive Care Monitoring, Proceedings of the Sixteenth international Conference on Machine Learning, pp.268-277, 1999.

E. Balas and E. , Information Systems Can Prevent Errors and Improve Quality, Journal of the American Medical Informatics Association, vol.8, issue.4, pp.398-407, 2001.
DOI : 10.1136/jamia.2001.0080398
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC130085