Machine Learning and Artificial Intelligence have garnered significant attention from researchers in the field of healthcare and medical sciences. The ever-increasing volume, velocity, and variety of healthcare data necessitate the development of an efficient machine learning tool to improve prediction accuracy in the healthcare domain. The primary objective of this paper is to identify the most optimal and appropriate algorithm for disease prediction and diagnosis, and to explore the application of machine learning in healthcare systems. Additionally, this paper provides a comprehensive overview of data science concepts, ranging from data mining techniques to machine learning classification algorithms. The abstract succinctly encapsulates the key aspects of the entire paper, adhering to a predetermined sequence.