Improving heart disease prediction using multi-tier ensemble model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology
Link
https://link.springer.com/content/pdf/10.1007/s13721-022-00381-3.pdf
Reference39 articles.
1. Abdar M, Książek W, Acharya UR, Tan RS, Makarenkov V, Pławiak P (2019) A new machine learning technique for an accurate diagnosis of coronary artery disease. Computer Methods Prog Biomed. https://doi.org/10.1016/j.cmpb.2019.104992
2. Ali L, Rahman A, Khan A, Zhou M, Javeed A, Khan JA (2019a) An automated diagnostic system for heart disease prediction based on χ2 statistical model and optimally configured deep neural network. IEEE Access 7:34938–34945. https://doi.org/10.1109/ACCESS.2019.2904800
3. Ali F, El-Sappagh S, Islam SMR, Kwak D, Ali A, Imran M, Kwak K-S (2020) A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion. Inf Fusion 63:208–222. https://doi.org/10.1016/j.inffus.2020.06.008
4. Ali, L., Niamat, A., Khan, J.A., Golilarz, N.A., Xingzhong, X., Noor, A., Nour, R., Bukhari, S.A.C. (2019b) An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure. IEEE Access
5. Atallah, R., Al-Mousa, A. (2019) Heart Disease Detection Using Machine Learning Majority Voting Ensemble Method. In: 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS). pp. 1–6. IEEE
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