Advances in Fuzzy-Based Internet of Medical Things (IoMT)

15Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring

U. Moulali¹*, Bhargavi Peddi Reddy², Srikanth Bhyrapuneni³, Shruthi S.K.⁴, Shaik Khaleel Ahamed⁴ and Harikrishna Bommala⁵

¹Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India

²Department of CSE, Vasavi College of Engineering, Hyderabad, India

³Department of CSE, Koneru Lakshmaiah Education Foundation, Hyderabad, India

⁴Methodist College of Engineering and Technology, Hyderabad, India

⁵Department of CSE, KG Reddy College of Engineering & Technology, Hyderabad, India

Abstract

With the advent of wireless sensors and wearable gadgets, medical care has risen to the forefront of technological advancement. A mountain of unstructured and diverse health data is produced by the widespread use of sensors and devices in fitness. There have been several helpful approaches and frameworks established for secure and private data-sharing frameworks. However, the use of fuzzy logic systems to organize and analyze health data has received very little attention. The reliability, accuracy, and stability of wireless sensors and devices are all negatively impacted by low battery or energy levels. Accurate diagnosis and decision-making need proper categorization, elimination of noise, and interoperability of health data. Using a fuzzy logic system or algorithm to handle raw medical data uncertainties and data management may save energy and be successful. Artificial intelligence ...