| Sumario: | Our goal is to provide a tool to assist professionals and consumers in finding and choosing drugs. To achieve this goal, we develop an approach that allows a user to query for drugs that satisfy a set of conditions based on drug properties, such as drug indications, side effects, and drug interactions, and also takes into account patient profiles, We also analyze the disease and best drug advised to that specific patient through Big Data analysis we are implementing an application to know about disease based on our symptoms. Based on the symptoms system will predict the type of disease and suggest the specialist doctor based on the rank method. After that best drug will suggested by the system. Order based Data mining plays significant job in different social insurance administrations. In social insurance province, significant as well as testing task are to analyze wellbeing circumstance as well as appropriate therapy of ailment at the advance arrange. Some of different ailments that can be analyzed advance also, can be attend to at the beginning period. while infections. The customary methods for diagnosing thyroid infections relies upon clinical assessment as well as number of tox screen. Important assignment in order to recognize malady conclusion at advance phases accompanied by high precision. Data mining strategies take part in an significant job in social insurance area for creating decision, illness finding as well as giving best therapy to sufferer effortlessly. Sickness categorization is an significant job. Motivation behind investigation is to predict the illness utilizing distinctive arrangement procedures.
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