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Online pattern recognition in intensive care medicine.

R Fried¹, U Gather, M Imhoff

¹Department of Statistics, University of Dortmund, D-44225 Dortmund, Germany.

Proceedings. AMIA Symposium

|February 5, 2002

Summary

Intelligent alarm systems analyzing physiological time series can reduce false alarms in intensive care. Detecting trends and changes offers better patient state classification than fixed thresholds.

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2026-06-19T13:35:32.642850+00:00

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