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  Published Paper Details:

  Paper Title

Block chain- based Secure HealthCare System (BSHS) using KNN algorithm for Predict the Diseases

  Authors

  Dr.G.Indra Navaroj,M.Tech.,Ph.D.,  P.Bala Murugan,  K.Esakkimuthu,  S.Gokul,  I.John prakash

  Keywords

Block chain, KNN, BSHS

  Abstract


The Blockchain-Based Secure Healthcare System for Diabetic-Cardio Disease Prediction is a novel healthcare solution that combines Blockchain technology and machine learning to predict the likelihood of developing diabetic-cardiovascular diseases. The application provides patients and healthcare providers with a secure platform to store and share medical data while maintaining privacy and security. The BSHS uses KNN algorithms to analyse patient data and predict the likelihood of developing diabetic cardio vascular diseases. The predictions are stored on the Blockchain, ensuring the security and immutability of the data. Patients can access their predictions and health status at any time through the application. Healthcare providers can also use the application to monitor patient health, provide timely interventions, and improve patient outcomes. The Blockchain-Based Secure Healthcare System for Diabetic-Cardio Disease Prediction provides an innovative solution to the growing healthcare challenges of chronic diseases and the need for secure, decentralized, and personalized healthcare services.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305492

  Paper ID - 236812

  Page Number(s) - d706-d710

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.G.Indra Navaroj,M.Tech.,Ph.D.,  P.Bala Murugan,  K.Esakkimuthu,  S.Gokul,  I.John prakash,   "Block chain- based Secure HealthCare System (BSHS) using KNN algorithm for Predict the Diseases", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.d706-d710, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305492.pdf

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ISSN: 2320-2882
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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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