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Protecting Personal Healthcare Record Using Blockchain Federated Learning Technologies
24th International Conference on Advanced Communication Technology, ICACT 2022 ; 2022-February:109-112, 2022.
Article in English | Scopus | ID: covidwho-1789855
ABSTRACT
For decades artificial intelligence (AI) has been used for various applications in the healthcare industry. Machine learning and artificial intelligence algorithms allow us to diagnose and customize medical care and follow-up plans to get better results, and during the covid19 pandemic, it was found that AI models have been using to predict the Covid-19 symptoms, understanding how it spreads, speeding up research and treatment using medical data. However, it is very challenging to make a robust AI model and use it in a real-time and real-world environment since most organizations do not want to share their data with other third parties due to privacy concerns, furthermore, it is difficult to build a generalized prediction model because of the fragmented nature of the patient data across the healthcare system. To solve the above problems, this paper presents a solution based on blockchain and AI technologies. The blockchain will securely protect the data access and AI-based federated learning for building a robust model for global and real-time usage. © 2022 Global IT Research Institute-GiRI.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 24th International Conference on Advanced Communication Technology, ICACT 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 24th International Conference on Advanced Communication Technology, ICACT 2022 Year: 2022 Document Type: Article