Blockchain based Medical Record Storage and History Tracking and Machine Learning Based Treatment Comparision

This paper presents the implementation of the storage of the treatment history and the records using the blockchain and a comparative analysis of the treatment using the various machine learning algorithms. As traditional systems which store records face some issues with respect to the security of those records, the system we have implemented using the blockchain by making use of IPFS storage removes threats and gives secure storage platforms where healthcare providers and patients can store records safely and securely. In addition to this, there is somewhere an unhealthy relationship between the doctor and patients, so we have tried to overcome it by using various machine learning algorithms to provide them with insight related to it. The blockchains decentralized storage ensure that no one central authority have the control on the records and hence due to its immutable and the distributed nature it has become more popular and secure.