The deployment of data mining techniques has gathered significant its capability to increase diagnostic accuracy. This paper exploration and evaluation of data mining strategies for disease prediction. Our investigation covers an assortment of algorithms. Furthermore, we explore an extensive array of diseases. This paper further investigates the variety of datasets. An analytical comparison of various data mining strategies imparting understanding into their individual strengths, limitations. our paper also identifies gaps in the research and proposes potential avenues for future exploration, which may encompass the integration of advanced machine learning methodologies and utilization of data categories. The purpose of paper provides all encompassing perspective on the present status of data mining in the context of disease prediction, assist scholars in making informed choices. The analysis of various studies revealed significant inconsistencies in the performance certain algorithms, may be attributed to factors such as the choice of dataset, preprocessing steps, and dataset size...................... Keywords: ...............Machine Learning, Deep Learning, Predictive Analytics, Disease Prediction, Feature Selection, Medical Data Processing, Classification Algorithms.