Dankan Gowda, V. and Rajalakshmi, J. and Guruprakash, B. and Hariram, Venkatesan and Prasad, K. D. V. (2025) Integrating IoT, Blockchain, and Quantum Machine Learning. Science Talks. pp. 103-126. ISSN 27725693
Full text not available from this repository.Abstract
This chapter discusses how IoT, blockchain, and quantum machine learning (QML) converge to transform healthcare. These technologies enhance patient engagement, secure medical data, and improve data-driven decision-making. Practical applications include chronic disease monitoring, predictive analytics, and personalized medicine. Ethical, regulatory, and technical challenges are also considered, providing a comprehensive evaluation of the feasibility and potential of integrating these technologies in modern healthcare.
| Item Type: | Article |
|---|---|
| Subjects: | Agricultural and Biological Sciences > General Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology > Biochemistry Biochemistry, Genetics and Molecular Biology > Genetics Biochemistry, Genetics and Molecular Biology > Molecular Biology Computer Science > General Computer Science |
| Divisions: | Homoeopathy > Vinayaka Mission's Homoeopathic Medical College and Hospital, Salem > Practice of Medicine |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Date Deposited: | 25 Nov 2025 08:38 |
| Last Modified: | 25 Nov 2025 08:38 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/1034 |
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