Heart Disorder Prediction Using 1D Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3691-5_44
Reference17 articles.
1. Desai SD, Giraddi S, Narayankar P, Pudakalakatti NR, Sulegaon S (2019) Back-propagation neural network versus logistic regression in heart disease classification. Advanced computing and communication technologies. Springer, Singapore, pp 133–144
2. Roca-Luque I, Rivas-Gándara N, Dos Subirà L, Francisco-Pascual J, Pijuan-Domenech A, Pérez-Rodon J, Teresa-Subirana M et al (2018) Mechanisms of intra-atrial re-entrant tachycardias in congenital heart disease: types and predictors. Am J Cardiol 122(4):672–682
3. Dube H, Madge S, Jagtap P, Potdar P, Bhandare N (2020) Review on heart disease classification. In: Proceedings of the 2020 5th international conference on communication and electronics systems (ICCES). IEEE, New York, pp 1169–1173
4. Ekız S, Erdoğmuş P (2017) Comparative study of heart disease classification. In: Proceedings of the 2017 electric electronics, computer science, biomedical engineering’s meeting (EBBT). IEEE, New York, pp 1–4
5. Sowmiya C, Sumitra P (2017) Analytical study of heart disease diagnosis using classification techniques. In: Proceedings of the 2017 IEEE international conference on intelligent techniques in control, optimization and signal processing (INCOS). IEEE, New York, pp 1–5
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