Ensuring Privacy in COVID-19 Detection with Blockchain and Multi-Modal Data Fusion of Breathing Sounds and X-rays
DOI:
https://doi.org/10.22399/ijcesen.1966Keywords:
COVID-19 Detection, Blockchain Technology, Breathing Sounds, Chest X-ray Imaging, Privacy-Preserving SystemsAbstract
Current models exhibit a range of shortcomings, such as problems with scaling, increased delays, and prolonged time taken to forecast results. A blockchain based health disease prediction system tackles the below problem by needing a secure model which is able to execute and protect the Machine Learning (ML) and DL strategies utilized for prediction and forecasting diseases accurately without fear of compromise. The traditional approach to health care data management does not secure the information, allows neither data ownership control by patients, nor any data synergy between the stakeholders. This solution seeks to harness blockchain technology's decentralized network, transparency, and encryption of information to efficiently store, process and disseminate health records of patients on top of which DL models are added for accurate disease detection and treatment recommendations.
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