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  Published Paper Details:

  Paper Title

THE FRAMEWORK OF PRIVACY-PRESERVING DIABETES PREDICTION USING BLOCKCHAIN

  Authors

  Niharika Patel,  Manoranjan Panda

  Keywords

Blockchain, Secure systems, Healthcare, Diabetes disease, Classification algorithms.

  Abstract


The blockchain is now finding practical applications in industries such as healthcare because of its inherent characteristics, including a distributed ledger, decentralized storage, authentication, privacy, and immutability. A strong legal framework often imposes high levels of authentication, interoperability, and data sharing for blockchain applications in the healthcare sector. Blockchain has made advances in a multitude of industries, including business, government, online voting, and healthcare, to name a few. One of the most popular and significant sectors is healthcare, which consists of an electronic health record (EHR) system and a control system. Globally, the mortality rate for diabetes is increasing, making it one of the fastest-growing chronic illnesses. Using the Blockchain platform, a system for monitoring diabetic disease using machine learning algorithms can be developed that will provide early diagnosis of diabetes as well as protect patient electronic health records. Our EHRs sharing infrastructure integrates symptom-based illness prediction, Blockchain, and the interplanetary file system (IPFS) with patient health data gathered via wearable sensor devices. Once the data is acquired, an ML unit is used by the EHR manager to generate the required results. With the patient's and practitioner's approval, the findings, as well as the healthcare data are stored on the Blockchain. The healthcare industry should benefit from our proposed system in terms of storing, processing, and securely exchanging patient health information.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207439

  Paper ID - 223344

  Page Number(s) - d330-d340

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Niharika Patel,  Manoranjan Panda,   "THE FRAMEWORK OF PRIVACY-PRESERVING DIABETES PREDICTION USING BLOCKCHAIN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.d330-d340, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207439.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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