Abstract During patient monitoring, personalization is extremely important in order to achieve realistic results when determining the risk level based on the measurement of physiological characteristics. This requirement can be met by a system where neither the inputs nor their number are fixed but can be defined in a personalized way. In this article, that kind of flexible framework system is presented, with particular reference to its input factors and their measurement possibilities.
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Parameter Determination of A Fuzzy Logic-Based Framework
Semantic Scholar · Computer Science · 2018
Abstract
Abstract During patient monitoring, personalization is extremely important in order to achieve realistic results when determining the risk level based on the measurement of physiological characteristics. This requirement can be met by a system where neither the inputs nor their number are fixed but can be defined in a personalized way. In this article, that kind of flexible framework system is presented, with particular reference to its input factors and their measurement possibilities.