References
- A. A Hong, S., Fu, Z., Zhou, R., Yu, J., Li, Y., Wang, K., & Cheng, G. (2020). CardioLearn: A cloud deep learning service for cardiac disease detection from electrocardiogram. arXiv preprint arXiv:2007.02165.
- Umer, M., Aljrees, T., Karamti, H., Ishaq, A., Alsubai, S., Omar, M., Bashir, A. K., & Ashraf, I. (2023). Heart failure patients monitoring using IoT-based remote monitoring system. Scientific Reports, 13(1), 19213.
- Zhang, J., Wang, Q., Wu, J., & Yao, L. (2021). IoT-based cardiac care using predictive analytics and deep learning: A smart healthcare system. IEEE Access, 9, 7894–7903.
https://doi.org/10.1109/ACCESS.2021.3049507. - Kumar, P., Gupta, R., & Kumar, A. (2022). IoT and AI integration for cardiovascular disease diagnosis: A deep learning approach. Multimedia Tools and Applications, 81, 34527–34542.
https://doi.org/10.1007/s11042-021-10684-9. - Raza, K., & Mohd, S. (2021). AI and IoT-enabled intelligent healthcare system for cardiac care: Challenges and solutions. AI in Medicine, 126, 102192.
https://doi.org/10.1016/j.artmed.2021.102192. - Mehmood, A., Raza, S., Rehman, A., & Bashir, S. (2021). A deep learning-based IoT framework for real-time cardiac health monitoring. Journal of Ambient Intelligence and Humanized Computing, 12(11), 9693–9705.
https://doi.org/10.1007/s12652-021-03169-2. - Das, S., Roy, S., Ghosh, S., & Paul, S. (2023). A novel IoT-enabled heart disease prediction system using a fusion of CNN and RNN models. Healthcare Technology Letters, 10(2), 56–64.
https://doi.org/10.1049/htl2.2023.0021. - Ahmad, F., Nisar, S., Khalid, S., & Janjua, N. K. (2023). An explainable AI approach for IoT-enabled secure healthcare monitoring. IEEE Internet of Things Journal, 10(3), 2347–2356.
https://doi.org/10.1109/JIOT.2023.3207426. - Huang, G., Zhang, Q., & Wu, X. (2022). Explainable AI for wearable edge devices in healthcare IoT: A practical perspective. Sensors and Actuators B: Chemical, 366, 131847.
https://doi.org/10.1016/j.snb.2022.131847 - Sharma, T., Bhardwaj, A., & Singh, R. (2023). Blockchain-based explainable AI framework for edge-enabled healthcare IoT systems. Sensors, 23(12), 4412.
https://doi.org/10.3390/s23124412. - Chen, T., Zhang, Z., Liu, L., Luo, H., & Xiong, N. (2022). A hybrid deep learning approach for automated cardiovascular disease diagnosis using IoT-enabled wearable sensors. Journal of Biomedical Informatics, 134, 104163.
https://doi.org/10.1016/j.jbi.2022.104163. - Alazab, M., Awadalla, M., & Meshram, A. A. (2021). Deep learning for IoT-enabled heart disease diagnosis: A review and future directions. Sensors, 21(22), 7410.
https://doi.org/10.3390/s21227410. - Rao, G.M., Ramesh, D., Sharma, V. et al. AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach. Sci Rep 14, 7833 (2024).
https://doi.org/10.1038/s41598-024-56931-4 - Xia, B., Innab, N., Kandasamy, V. et al. Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimization. Sci Rep 14, 21777 (2024).
https://doi.org/10.1038/s41598-024-71932-z - Subashini, A., Kanaka Raju, P. An IoT-Based Heart Disease Diagnosis System Using Gradient Boosting and Deep Convolution Neural Network. SN COMPUT. SCI. 5, 23 (2024).
https://doi.org/10.1007/s42979-023-02340-9 - Umer, M., Aljrees, T., Karamti, H., Ishaq, A., Alsubai, S., Omar, M., Bashir, A. K., & Ashraf, I. (2023). Heart failure patients monitoring using IoT-based remote monitoring system. Scientific reports, 13(1), 19213.
https://doi.org/10.1038/s41598-023-46322-6 - Patro, S. P., & Padhy, N. (2023). A Secure IoT-Cloud Based Remote Health Monitoring for Heart Disease Prediction Using Machine Learning and Deep Learning Techniques. Engineering Proceedings, 56(1), 241.
https://doi.org/10.3390/ASEC2023-16580 - Nancy, A. A., Ravindran, D., Raj Vincent, P. M. D., Srinivasan, K., & Gutierrez Reina, D. (2022). IoT-Cloud-Based Smart Healthcare Monitoring System for Heart Disease Prediction via Deep Learning. Electronics, 11(15), 2292.
https://doi.org/10.3390/electronics11152292 - Amor, N., Feki, M., & Kachroudi, A. (2020). Convolutional neural networks for heart disease prediction in IoT-based systems. Journal of Electrical Engineering & Technology, 15(6), 2569–2578.
- Wang, L., & Yan, X. (2020). Real-time health monitoring and prediction of heart disorders using machine learning and IoT-based systems. Computers in Biology and Medicine, 125, 103957.
- Ali, Farman & El-Sappagh, Shaker & Islam, S. M. Riazul & Kwak, Daehan & Ali, Amjad & Imran, Muhammad & Kwak, Kyung. (2020). A Smart Healthcare Monitoring System for Heart Disease Prediction Based On Ensemble Deep Learning and Feature Fusion. Information Fusion. 63. 10.1016/j.inffus.2020.06.008.