A Fuzzy based Diagnostic Agent for Context Aware Patient Monitoring | Zendy

T Magano | Zendy; Karim Djouani | Zendy; Anish Kurien | Zendy; Abdelghani Chibani | Zendy

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A Fuzzy based Diagnostic Agent for Context Aware Patient Monitoring

Author(s) -

T Magano,

Karim Djouani,

Anish Kurien,

Abdelghani Chibani

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.174

Subject(s) - computer science , context (archaeology) , fuzzy logic , health care , position paper , remote patient monitoring , aggregate (composite) , context awareness , medical diagnosis , service (business) , position (finance) , data science , data mining , artificial intelligence , world wide web , medicine , paleontology , linguistics , philosophy , materials science , economy , radiology , pathology , finance , phone , economics , composite material , biology , economic growth

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.

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