In this review paper, it gives an overview of the several applications of machine learning techniques in disease prediction and symptom classification. The outcome of this survey article mainly gives focus on dataset preparation, machine learning algorithms like CNN, RCNN, Gradient Boosting techniques, also on practical implications and evaluation factors on the larger amount of CT Scan Kidney dataset. Through a comparative analysis of these methods, this survey offers insights into their strengths, weaknesses, and real-world applicability. Ultimately, this paper contributes to advancing the understanding of machine learning’s role in healthcare decision-making.