• Alice Mary Marshal Rajan
• Prof Mrs. Deepti Nirwal

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 expects 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 is to decide clinical illnesses in step with given signs and symptoms on every day basis. The main concept is to decide medicinal ailments as per given side effects and every day routine given by the user, along with the ability of providing the closest doctor’s facility of that present area. The system provides a user-friendly interface for examinees and doctors. Examinees can know the various side effects occurring in their body while the specialists can get a lot of examinees with potential hazard. The machine gives a user-friendly interface for examinees and medical doctors. The doctor should restore prediction result via an interface, which will accumulate medical doctors’ entry as new training information. Thus, enhancing the overall performance of prediction.

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 6, page no.441-448, June 2019, Available :http://www.jetir.org/papers/JETIR1906L64.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 6, page no. pp441-448, June 2019, Available at : http://www.jetir.org/papers/JETIR1906L64.pdf