Author : Miss. Madhuri Raosaheb Ghatage and Dr. Nihar Ranjan

Health examination has performed an essential position for preserving people’s fitness since it may not best assist human beings apprehend their very own health conditions simply but also avoid lacking the first-rate timing of disorder treatment. However, in current health examination systems, people get only a basic report from single health examination and no advanced health risk analysis is provided. However, because of the shortage of experienced doctors and physicians, maximum healthcare groups cannot meet the medical demand of public. Due to that public need the Medical Treatment on-line with accuracy. Now a day’s, public has no time to get the health practitioner physically, and then search the web hospital near approximately the current location. With the great use of hospital information system, there is big quantity of generated information which may be used to enhance healthcare service. Therefore, extra and additional realities mining bundles are created to give individuals more prominent hand crafted medicinal services administration. The main concept is to decide medicinal ailments as in step with given side results and every day routine given by the user, at the side of the potential of offering the closest doctors facility of that gift area. The framework provides a smooth to recognize interface to examinees and specialists. Examinees can realize the diverse side effects taking place in their body at the same time as the professionals can get a number of examinees with potential hazard. In the proposed paper we utilize diverse calculation to extend the safety of sensitive information of medical hospital the board consists of professionals, patients, etc.

Keywords: Disease prediction, Safety, Data Mining, Machine Learning, Medical Treatment, Hospital Management.