Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection

Feng Gao; Yaji Sripada; Jim Hunter; Francois Portet

doi:10.1007/978-3-642-02976-9_6

Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection

Feng Gao, Yaji Sripada, Jim Hunter, Francois Portet

Computing Science

Grenoble Institute of Technology, Laboratoire d’Informatique de Grenoble

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

7 Citations (Scopus)

Abstract

The events which occur in an Intensive Care Unit (ICU) are many and varied. Very often, events which are important to an understanding of what has happened to the patient are not recorded in the electronic patient record. This paper describes an approach to the automatic detection of such unrecorded 'target' events which brings together signal analysis to generate temporal patterns, and temporal constraint networks to integrate these patterns with other associated events which are manually or automatically recorded. This approach has been tested on real data recorded in a Neonatal ICU with positive results.

Original language	English
Title of host publication	AIME-09
Subtitle of host publication	Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine
Editors	Carlo Combi, Yuval Shahar, Ameen Abu-Hanna
Publisher	Springer-Verlag
Pages	46-55
Number of pages	10
Volume	5651
ISBN (Electronic)	978-3-642-02976-9
ISBN (Print)	3-642-02975-2
DOIs	https://doi.org/10.1007/978-3-642-02976-9_6
Publication status	Published - 10 Jul 2009

Publication series

Name	Lecture Notes in Artificial Intelligence

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Gao, F., Sripada, Y., Hunter, J., & Portet, F. (2009). Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection. In C. Combi, Y. Shahar, & A. Abu-Hanna (Eds.), AIME-09: Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine (Vol. 5651, pp. 46-55). (Lecture Notes in Artificial Intelligence). Springer-Verlag. https://doi.org/10.1007/978-3-642-02976-9_6

Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection. / Gao, Feng; Sripada, Yaji ; Hunter, Jim et al.
AIME-09: Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine. ed. / Carlo Combi; Yuval Shahar; Ameen Abu-Hanna. Vol. 5651 Springer-Verlag, 2009. p. 46-55 (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Gao, F, Sripada, Y , Hunter, J & Portet, F 2009, Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection. in C Combi, Y Shahar & A Abu-Hanna (eds), AIME-09: Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine. vol. 5651, Lecture Notes in Artificial Intelligence, Springer-Verlag, pp. 46-55. https://doi.org/10.1007/978-3-642-02976-9_6

Gao F, Sripada Y , Hunter J, Portet F. Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection. In Combi C, Shahar Y, Abu-Hanna A, editors, AIME-09: Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine. Vol. 5651. Springer-Verlag. 2009. p. 46-55. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-642-02976-9_6

Gao, Feng ; Sripada, Yaji ; Hunter, Jim et al. / Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection. AIME-09: Proceedings of the Twelfth European Conference on Artificial Intelligence in Medicine. editor / Carlo Combi ; Yuval Shahar ; Ameen Abu-Hanna. Vol. 5651 Springer-Verlag, 2009. pp. 46-55 (Lecture Notes in Artificial Intelligence).

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Using temporal constraints to integrate signal analysis and domain knowledge in medical event detection

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