Two-Stage Interpretation of ICU Data Based on Fuzzy Sets
Friedrich Steimann, Klaus-Peter Adlassnig · 1994
Intelligent on-line monitoring of ICU patients requires mechanisms to detect and interpret significant patterns in the flood of recorded data. Many monitoring methods have been proposed, ranging from simple surveillance of thresholds to complex reasoning about and forecasting of the patient’s behaviour based on computational models of the human organism.