Paper Title
Survey of Multiple Disease Prediction System Using Machine Learning

Abstract
This study introduces an innovative approach to surveyMultiple disease prediction systems that utilize machine learningalgorithms to forecast the likelihood of multiple diseases inindividuals. Also, withincreasing population disease and infectionspreading has also increased which has increased the death rate.Thepotentialtopredictmultiplediseasessimultaneouslywillmakethe treatment of the patient’s health better at the early stage. Thisstudy involves comprehensive analysis of various applications ofmachine learning algorithms in prediction of multiple diseases. Itgivesan overview about various machine learning models and howmuch accuracy each model gives for a targeted disease. Theintegration of machine learning techniques providesa promisingavenue for the development of proactive and personalizedhealthcaresolutions,ultimatelyenhancingtheoverallwell-beingofindividuals and communities. Keywords - - Machine learning, Support Vector Machine (SVM),Logistic Regression (LR), Random Forest (RF), Kth NearestNeighbour (KNN), Naïve Bayes (NB), Decision Tree (DT), Diseaselike Heart, Diabetes, Parkinson, Malaria, etc.