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@article{156227,
        author = {Bal Krishna Bharti and Aryan K. and Vimpy P. and Gopal K.B. and P Sushmita S and Dr.Aruna M G and Dr. Malatesh S H},
        title = {Blockchain and Machine learning in healthcare},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {3},
        pages = {84-88},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=156227},
        abstract = {Now days so much inaccurate information and fraud in the healthcare industry, so we need to explore a secure and trusting environment to better the system. Nonfinancial blockchain provides secure and immutable data sharing to data management in the diverse medical workflow. The data breaches reached a record high and for the past few years, the healthcare field has had the second highest number of breaches compared to other sectors.. The frequency of medical data breaches has been highly concerning. In particular, armed with someone’s medical information, thieves can easily commit medical identity theft to get drug prescriptions, or make false insurance claims under the victim’s name. Medical data mostly comes with personal and private information which includes Social Security Numbers (SSNs), as well as financial information. This is done using trained algorithms. After storing we use Blockchain for data sharing and its reliability. For securing the medical data use Decentralized server for secure storage of medical data.},
        keywords = {Blockchain, SSN},
        month = {},
        }