A Way to Design Data Transfer System Modelling to Secure and Transmit Data with the Help of Fuzzy Based Logic in Healthcare System

Healthcare utilization of data plays a key part in cancer types and disease prediction. Bringing fuzzy linear regression algorithms into dynamic analysis improves decision-making in medical business, especially for dynamic analyses of data. To handle issues linked to computing intricacy and processing time and energy, a convex hull method is suggested, focused on using the Beneath-Beyond algorithm. This gradual method lowers computing speed and complexity, reducing current limits. Using a real fuzzy medicinal products dataset compared to the industry, the study includes creating an offering of fuzzy numerical optimization alongside applying the convex hull method to obtain coordinate points in hyper-rectangles circles. This combo results in a new convex hull-based flexible linear equation model designed for dynamic curved health care data. This improved program aims to quicken processes of decision-making, especially among critical healthcare areas, giving a useful addition to the field.