Personalization of Health Care System using RNN and Block chains

The maintenance of health is one of the central aspects of a good life. There have been significant advancements in the paradigm of Health care in recent years which are assistive to doctors and medical practitioners. One such paradigm is the PHR or personalized Health Records that allows the creation of a repository of the various parameters of a patient and the treatment offered to such patients for his/her relief. The PHR paradigm is a highly useful reference for the doctors as it allows them to effectively diagnose the symptoms and offer accurate treatment. The problem arises when a patient with a unique set of symptoms and parameters is encountered. This is a problematic occurrence as without any history the doctor is forced to try the trial and error technique to identify the symptoms. Therefore, for this purpose, there is a need for an effective technique for the secure sharing of PHR data between the medical institutions. For this purpose, various data vendors facilitate the exchange of data between hospitals and medical organizations. To secure the highly sensitive PHR’s there is a need for an effective and secure access control mechanism that is described in this publication. The proposed methodology secures the PHR data through the implementation of the Distributed Blockchain framework which is assisted by the X means clustering and Decision Tree along with the introduction of an effective access control mechanism through the use of Recurrent Neural Networks.