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Monitoring patients using fuzzy logic and machine learning methods
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UDC: 004.891; 614.88
Publication Language: Ukrainian
Stuc. intelekt. 2017; 22(3-4):211-217
Abstract: The methods of artificial intelligence for automatically detecting the deterioration of the patient's condition are studied, using data from patient observations in real time. The goal is to develop a system for calculating risk level of the patient's health. Expert assessments contained in the rules of fuzzy logic are compared with the current values of the indicators for assessing the risk of the disease. A class of "normal" physiological state for the formation of a model of machine learning is defined. The significant values deviation from the norm is identified as "abnormal" class for further diagnosis of deterioration causes of the patient's condition.
Keywords: Patient monitoring, vital signs, fuzzy logic, machine learning
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