Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring

Summary

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 (AI), neural networks, and optimization underpin fuzzy logic. This study covers a large amount of literature on fuzzy logic systems and algorithms to improve healthcare apps and frameworks. Exploring different machine learning methods and integrating cloud infrastructure elements may improve the reasoning component's versatility.