A fuzzy based diagnostic agent for context aware patient monitoring.
Maganoa, T. Djouani, K. Kurien, A.M. Chibani, A.
Maganoa, T.
Djouani, K.
Kurien, A.M.
Chibani, A.
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Abstract
It is widely known that Remote healthcare monitoring can be a solution to provide an alternative healthcare service that can reduce the amount of strain that the current health care systems experience with the ever increasing demand of health care services world wide. However monitoring a patient remotely requires an accurate interpretation of the data regarding the patients condition. This position paper presents a Fuzzy expert system used to reason medical contexts from a Body Area Network consisting of several sensors monitoring vital healthcare indicators. Fuzzy Logic is used to aggregate the data from the sensors and handle the reasoning required to abstract high-level context information from the low-level context from the sensors and determine the patients condition.
Description
The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2018).
Date
2018-01-01
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Publisher
Elsevier
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Keywords
Remote healthcare, Fuzzy reasoning, Context awareness