• Amruta Bhole
• Dr. P.M.Jawandhiya

There has been an increase in the number of patients with various diseases every year , hence diet and exercise hold an important place. Treating disease and recommending the diet and exercise is required to efficiently manage health conditions of patients. In this paper, we considered some major diseases and a system has been designed and developed that recommends probable diet and exercise to help people manage their health well. This system analyses the input parameters that are entered by the end user and provides personalized services for users in the form of recommendations for their diet and exercises. The recommendation is done using user interface based on symptoms initially entered by hospital staff given by patient. The disease prevention plays an important role in improving the public health. It reduces the risk of some of the diseases that may come in the future. The proposed system determines the disease and recommends the suitable diet and exercises. The experimental results show that the performance of our proposed system is efficient in determining the disease and recommending the diet and exercise. “Healthcare Management System” is a system which uses modeling based on prediction (Predictive modeling) that tries to predict the disease the user may be suffering from on the basis of the symptoms that user provides as an input to the system. The system analyzes the symptoms provided by the user as input and gives the probable disease as an output. Disease Prediction is done by applying the Naïve Bayes Classifier.

Symptoms, Prediction, Naive Bayes Classifier, Accuracy, Diet, Exercise

"HEALTH CARE MANAGEMENT SYSTEM WITH DIET AND EXERCISE GUIDELINES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.196-201, April-2019, Available :http://www.jetir.org/papers/JETIRBD06039.pdf

"HEALTH CARE MANAGEMENT SYSTEM WITH DIET AND EXERCISE GUIDELINES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp196-201, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06039.pdf