Author:
Le Tuan Minh,Pham Tan Nhat,Dao Son Vu Truong
Publisher
Springer International Publishing
Reference32 articles.
1. L. Yue, D. Tian, W. Chen, X. Han, M. Yin, Deep learning for heterogeneous medical data analysis. World Wide Web 23(5), 2715–2737 (2020). https://doi.org/10.1007/s11280-019-00764-z
2. Mining telemonitored physiological data and patient-reported outcomes of congestive heart failure patients. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190323. Accessed 13 Nov 2020
3. T. Ee, P. Tg, K. Gs, N. Kk, F. Di, Heart failure: diagnosis, severity estimation and prediction of adverse events through machine learning techniques. Comput. Struct. Biotechnol. J. 15, 26–47 (2016). https://doi.org/10.1016/j.csbj.2016.11.001
4. L. Hussain, I.A. Awan, W. Aziz, S. Saeed, A. Ali, Detecting congestive heart failure by extracting multimodal features and employing machine learning techniques. Biomed. Res. Int. 2020, 1–19 (2020). https://doi.org/10.1155/2020/4281243
5. C.S. Dangare, S.S. Apte, A data mining approach for prediction of heart disease using neural networks. Res. Gate 3(3), 30–40 (2012)
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