HEALTH CARE SYSTEM USING MACHINE LEARNING

Based on symptoms entered into the system, the condition Prediction system use predictive modelling to forecast the user’s condition. The system generates the likelihood that a condition exists based on an analysis of the user’s symptoms. Disease prediction is made possible by the Decision Tree Classifier’s implementation. The probability of a disease is determined by the CNN Classifier. The system also evaluates the disease’s severity and makes medication recommendations accordingly. The suggested technique also has the advantage of recommending suitable foods and workouts. The user’s recent and past medical histories are taken into account for disease prediction.