An Intelligent ECG-Based Diagnostic System for Early Detection of Heart Failure and Aortic Stenosis Using Hybrid Machine Learning and Deep Learning Techniques

Heart disease remains a major global health concern, requiring early detection and preventive measures. This paper presented a machine learning-based heart disease prediction system that provides fast, cost-effective, and reliable predictions.The system uses classification algorithms such as SVM to analyze patient data and determine the likelihood of heart disease. The results demonstrate that the proposed model achieves good accuracy and can assist in early diagnosis, thereby reducing the risk of severe complications. The web-based implementation ensures accessibility and ease of use, especially in areas with limited healthcare facilities. While the system shows promising results, it is intended to support medical professionals rather than replace them. Future improvements can further enhance accuracy by incorporating advanced algorithms, larger datasets, and real-time health monitoring systems.

1] D. Tian, J. Zhou, Y. Wang, Y. Lu, H. Xia, and Z. Yi, “A dynamic and self-adaptive network selection method for multimode communications in heterogeneous vehicular telematics,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 6, pp. 3033–3049, 2015. [2] M. Chen, Y. Ma, Y. Li, D. Wu, Y. Zhang, and C. Youn, “Wearable 2.0: Enable human-cloud integration in next generation healthcare system,” IEEE Communications Magazine, vol. 55, no. 1, pp. 54–61, Jan. 2017. [3] M. Chen, Y. Ma, J. Song, C. Lai, and B. Hu, “Smart clothing: Connecting human with clouds and big data for sustainable health monitoring,” Mobile Networks and Applications, vol. 21, no. 5, pp. 825–845, 2016. [4] M. Chen, P. Zhou, and G. Fortino, “Emotion communication system,” IEEE Access, vol. 5, pp. 326–337, 2016. [5] J. Wang, M. Qiu, and B. Guo, “Enabling real-time information service on telehealth system over cloud-based big data platform,” Journal of Systems Architecture, vol. 72, pp. 69–79, 2017. [6] M. A. Jabbar and S. Samreen, “Heart disease prediction system based on hidden naïve Bayes classifier,” in Proc. IEEE International Conference on Computational Intelligence and Computing Research, 2016.