Cardiovascular disease detection using ensemble learning

HIGHLIGHTS

  • who: Abdullah Alqahtani and colleagues from the College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia have published the article: Cardiovascular Disease Detection using Ensemble Learning, in the Journal: Computational Intelligence and Neuroscience 1.0 of 16/08/2022
  • what: This work provides contributions to detecting cardiovascular disease more effectively and efficiently. The authors propose a machine_learningbased ensemble model (XGB, KNN, and DT) and an ML and DL-based stacked model (ML ensemble model, DNN, and KDNN) to improve the classification results. In Table 5, the authors compare this study . . .

     

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