Machine Learning Techniques for Accurate Disease Prediction and Diagnosis

Abstract

 Predictive modeling has emerged as a powerful tool in disease diagnosis, leveraging data-driven approaches to improve accuracy and efficiency. This paper reviews recent advancements in predictive modeling techniques for disease diagnosis, explores their applications across various medical domains, and discusses challenges and future directions. We highlight key methodologies, their impact on diagnostic processes, and potential areas for further research.