Intelligent Medical Data Analysis Using Fuzzy Logic and AI to Protect the Environment

Abstract

The geometric increase in the amount of healthcare information and the development of environmental degradation require the convergence of smart data processing and environmental protection. In this paper, a framework that involves the combination of fuzzy logic and artificial intelligence (AI) to achieve intelligent analyzing of medical data is proposed to pursue two purposes simultaneously: to improve healthcare outcomes and to reduce the impact on the environment. The model uses fuzzy-based inference and machine learning classifiers to foretell diseases whilst optimum use of resources, administration of waste and carbon footprint of the healthcare practices. The findings illustrate higher precision in the diagnostic forecasting and presents viable solutions towards sustainable medical practice. Such a combination of health informatics and environmental awareness explains why AI is crucial in building a sustainable future.