About Adaptive State Knowledge Extraction for Septic Shock Mortality Prediction

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	Similar Articles Articles by Rüdiger W. Brause

14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02)

Washington, DC

November 04-November 06

ISBN: 0-7695-1849-4

	ASCII Text	x
	Rüdiger W. Brause, "About Adaptive State Knowledge Extraction for Septic Shock Mortality Prediction," Tools with Artificial Intelligence, IEEE International Conference on, pp. 3, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002.

	BibTex	x
	@article{ 10.1109/TAI.2002.1180781, author = {Rüdiger W. Brause}, title = {About Adaptive State Knowledge Extraction for Septic Shock Mortality Prediction}, journal ={Tools with Artificial Intelligence, IEEE International Conference on}, volume = {0}, year = {2002}, issn = {1082-3409}, pages = {3}, doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180781}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Tools with Artificial Intelligence, IEEE International Conference on TI - About Adaptive State Knowledge Extraction for Septic Shock Mortality Prediction SN - 1082-3409 SP EP A1 - Rüdiger W. Brause, PY - 2002 KW - null VL - 0 JA - Tools with Artificial Intelligence, IEEE International Conference on ER -

Rüdiger W. Brause, J.W.Goethe-University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2002.1180781

The early prediction of mortality is one of the unresolved tasks in intensive care medicine. This contribution models medical symptoms as observations cased by transitions between hidden markov states. Learning the underlying state transition probabilities results in a prediction probability success of about 91%.

The results are discussed and put in relation to the model used. Finally, the rationales for using the model are reflected: Are there states in the septic shock data?

Citation:

Rüdiger W. Brause, "About Adaptive State Knowledge Extraction for Septic Shock Mortality Prediction," ictai, pp.3, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002

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