Soft Computing Techniques for Smart Healthcare Systems

This research paper explores the application of soft computing techniques in the development of smart healthcare systems. Traditional hard computing approaches struggle with uncertainty and imprecision in medical data. This study analyzes three major soft computing techniques: Fuzzy Logic, Artificial Neural Networks (ANN), and Genetic Algorithms (GA). The research highlights their role in improving diagnostic accuracy, optimization of treatment plans, and decision-support systems. The findings demonstrate that soft computing enables intelligent, adaptable, and patient-centric healthcare solutions.