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- W2606820814 abstract "Recently, we are witnesses of an extensive computerizatcon in the medicine. Medical data are collected in hospitals, labs and practices, are stored in databases and are processed, not only by medical personnel, but also by some state authorities. Additionally, plenty of researchers from technical fields develop systems, tools and apparatus to support the medical personnel. Furthermore, a lot of computer scientists and data analysts are developing software and algorithms that use medical data, or process raw measurement data, in order automatically to generate suggestions to the medical personnel. In this paper we propose a fuzzy-logic based approach for analyzing physiological parameters (such as heart rate, systolic blood pressure, and body temperature), for assessing the patient's health status, and ranking it according to a specified scale. As a basis for the design of the algorithm we use the Modified Early Warning System (MEWS) [3], which is a standardized medical algorithm." @default.
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- W2606820814 date "2016-01-01" @default.
- W2606820814 modified "2023-09-22" @default.
- W2606820814 title "Fuzzy logic controller development for classification of patient status based on physiological parameters" @default.
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- W2606820814 doi "https://doi.org/10.1109/blackseacom.2016.7901556" @default.
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