METHOD FOR DETECTING CRITICAL TRENDS IN MULTI-PARAMETER PATIENT MONITORING AND CLINICAL DATA USING CLUSTERING

摘要

A physiological data analysis component ( 10 ) determines a condition of an individual. The physiological data analysis component ( 10 ) includes an input component ( 12 ) that receives a plurality of different physiological parameters of the individual. A classification component ( 20 ) of the physiological data analysis component ( 10 ) maps these parameters to a multi-dimensional space having a plurality of regions corresponding to two or more conditions. The classification component ( 20 ) determines the condition of the individual based on the region the physiological parameters mapped within. An output component ( 24 ) of the physiological data analysis component ( 10 ) conveys the condition of the individual to a user of the physiological data analysis component ( 10 ).