Author : Kajal Umesh Kamthe Dr.Gitanjali Shinde

Health is one of the key components of a fulfilling life. But certain diseases can cause an individual a significant amount of discomfort that can only be alleviated by proper diagnosis and medication by a doctor. In most developing nations, when a patient visits the doctor diagnoses the symptoms and provides medication if the symptoms fall under a particular ailment. Sometimes the symptoms are broad and a conclusive diagnosis cannot be reached, such a scenario the doctor opts for a trial and error method to weed out the actual ailment. This is a highly painful inconvenience for the patient. In most developed countries, there is a system to record and store Personal Health Records of the patients. These PHRs can be utilized in such cases where a conclusive diagnosis cannot be reached. Hence, when such a scenario is experienced by the doctor, he/she will consult the previous PHRs for similar cases. There are also independent Data Vendors that aggregate medical data from different medical institutes and hospitals. But there is a lack of trust between the entities that hamper the data sharing paradigm. Therefore, this paper outlines an effective Access Control mechanism which utilizes the blockchain platform to secure the data and alleviate the trust issues. The methodology also implements Linear Regression along with Hidden Markov Model and Fuzzy classification to enable an effective, secure and reliable Access control Mechanism on a distributed system for data sharing.

Keywords:  Blockchain, Data Vending, Natural Language Processing, Hidden Markov Model, Linear Regression.