• Shubhangi Ghodake
• Dr. Nihar Ranjan

In general public, individuals have large concern for their own health. Personalized health is step by step increasing. The lack of experienced specialists as well doctors, many of the healthcare organizations cannot meet the medical demand of patient/public. Patient need more accurate and instant result. Hence, many data mining applications are develop to gives people more alternative healthcare service. It is a qualitative solution for the resolving conflict between less available medical resources and increasing medical demands. In Our System using data mining methods to discover the co-relation between the regular physical symptoms and the possible health risk given by the user or patients. The Main concept to identify medical diseases according to given symptoms ,daily Routine when User search the hospital then recommend the nearest hospital of their current location. The application provides a user-friendly UI for patient and doctors. Patients knows their symptoms which observed in body while doctors can get a number of patients with possible risk. Patients can book appointment of doctor. A feedback mechanism could save human resources and enhance performance of system automatically. The doctor fix prediction result given by system through a user interface, which will collect doctors’ advice as new training data. Thus, our application increase the execution and performance of prediction model automatically

Prediction, Keyword Searching, Baseline, XGboost, Query Suggestion

"AI ALGORITHM FOR HEALTH RISK PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.600-607, June-2019, Available :http://www.jetir.org/papers/JETIR1906D01.pdf

"AI ALGORITHM FOR HEALTH RISK PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp600-607, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D01.pdf