3Development and Implementation of a Fuzzy Logic-Based Framework for the Internet of Medical Things (IoMT)
Santosh Reddy P.1*, Mamatha A.2, Akshatha Kamath2, Sreelatha P. K.3, Santosh Y. N.4 and Pallavi C. V.1
1Department of Computer Science & Engineering, B.N.M Institute of Technology, Bangalore, India
2Department of Computer Science & Engineering, Ramaiah Institute of Technology, Bangalore, India
3Department of Computer Science & Engineering, Presidency University, Bangalore, India
4Department of Information Science & Engineering, Sai Vidya Institute of Technology, Bangalore, India
Abstract
The growth of remote sensors and worn-out technologies revolutionized health status. Massive amounts of health data, often unstructured and diverse, are produced by the widespread sensors and health devices. Many methods are established to safeguard the sharing of private information. However, fuzzy logic systems are used to organize and verify health data. Their energy reserves impact the reliability, accuracy, and responsiveness of wireless sensors and devices. To make proper medical diagnoses and decisions, it is necessary to use techniques such as categorization, noise reduction, and precise health data interoperability. The difficulties associated with crude medical information and administrative data can be mitigated using a fuzzy logic system and related algorithms. Fuzzy logic depends on artificial intelligence (AI) networks and enhancement methods. The healthcare-related application ...
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