AI-Empowered Big Data Analytics and Cognitive Computing for Smart Health Monitoring
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35783-1_20
Reference20 articles.
1. Haghi, M., Neubert, S., Geissler, A., Fleischer, H., Stoll, N., Stoll, R., & Thurow, K. (2020). A flexible and pervasive IoT-based healthcare platform for physiological and environmental parameters monitoring. IEEE Internet of Things Journal, 7, 5628–5647.
2. Tomasicchio, G., Ceccarelli, A., Matteis, A. D., Spazzacampagna, L. (2021). A space-based healthcare emergency management system for epidemics monitoring and response. In Proceedings of the 38th International Communications Satellite Systems Conference (ICSSC 2021), Arlington, VA, USA, 27–30 September 2021; Volume 2021, pp. 195–199.
3. Subahi, A. F. (2019). Edge-based IoT medical record system: Requirements. recommendations and conceptual design. IEEE Access, 7, 94150–94159.
4. Rehman, M. U., Shafique, A., Ghadi, Y. Y., Boulila, W., Jan, S. U., Gadekallu, T. R., Driss, M., & Ahmad, J. (2022). A novel chaos- based privacy-preserving deep learning model for cancer diagnosis. IEEE Transactions Network Science Engineering, 1–17.
5. Miranda, D., Olivares, R., Munoz, R., & Minonzio, J. G. (2022). Improvement of patient classification using feature selection applied to bidirectional axial transmission. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69, 2663–2671.
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