• Monika Jadhav
• Hindavi Dighe
• Monika Paigude
• Priyanka Parge
• Prof. Komal Munde

In our society, humans have more attention to their own fitness. Personalized fitness service is regularly rising. The lack of skilled doctors and physicians, maximum healthcare corporations cannot meet the clinical call for of public. Public want extra accurate and on the spot result. Thus, increasingly more facts mining packages are evolved to provide humans extra custom designed healthcare provider. It is a good answer for the mismatch of insufficient clinical assets and growing medical demands. We advocate an AI-assisted prediction device which leverages information mining strategies to show the relationship between the everyday physical examination information and the capability fitness danger given through the consumer or public. The Main Concept to decide clinical illnesses in step with given signs and symptoms & every day Routine whilst User search the sanatorium then given the closest medical institution of their cutting-edge area. The machine gives a user-friendly interface for examinees and medical doctors. Examinees can recognize their symptoms which amassed in frame which set as the at the same time as medical doctors can get a fixed of examinees with capacity hazard. A comments mechanism could shop manpower and improve overall performance of gadget mechanically. The doctor should restoration prediction result via an interface, which will accumulate medical doctors’ enter as new training information. An more training technique might be caused every day the use of those facts. Thus, our machine ought to enhance the overall performance of prediction model mechanically.

Data Mining, Machine Learning and diseases prediction

"PREDICTION ON HEALTH CARE BASED ON NEAR SEARCH BY KEYWORD.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.474-482, May-2019, Available :http://www.jetir.org/papers/JETIR1905E70.pdf

"PREDICTION ON HEALTH CARE BASED ON NEAR SEARCH BY KEYWORD.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp474-482, May-2019, Available at : http://www.jetir.org/papers/JETIR1905E70.pdf