Heart Disease Prediction Analysis Through Ensemble Learning Model
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0976-4_37
Reference5 articles.
1. Khan Mamun MMR, Alouani AT (2020) FA-1D-CNN implementation to improve diagnosis of heart disease risk level. https://doi.org/10.11159/icbes20.122
2. Singh, Kumar R (2020) Heart disease prediction using machine learning algorithms. In: 2020 international conference on electrical and electronics engineering (ICE3), pp 452–457. https://doi.org/10.1109/ICE348803.2020.9122958
3. Sharma V, Yadav S, Gupta M (2020) Heart disease prediction using machine learning techniques. In: 2020 2nd international conference on advances in computing, communication control and networking (ICACCCT), pp 177–181. https://doi.org/10.1109/ICACCCN51052.2020.9362842
4. Shah SMS, Sher M, Shah FA, Khan I, Ashraf MU, Awais M, Ghani A (2019) Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines. Knowl Inf Syst 58(1):139–167. https://doi.org/10.1007/s10115-018-1185-y
5. Devi R, Tyagi HK, Kumar D (2017) Early stage prediction of sudden cardiac death. In: 2017 international conference on wireless communications, signal processing and networking (WiSPNET), pp 2005–2008. https://doi.org/10.1109/WiSPNET.2017.8300112
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