Classifying and Prediction for Patient Disease Using Machine Learning Algorithms

With the technological advancements occurring in the world, particularly in the medical field, it was important to utilize machine learning algorithms due to their significance in health reality and illness prediction. These techniques were used in many hospitals to improve the early detection of diseases via the use of medical databases for patients. This study seeks to give a review of machine learning techniques used throughout disease detection and prediction. Several papers over the last three years that used machine learning techniques have been examined by Naive Bayes. To evaluate algorithms, evaluation procedures, and outcomes to detect various diseases in the medical profession, was superior to other algorithms by (84%) in terms of accuracy.