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Image Search Results
Journal: PeerJ Computer Science
Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
doi: 10.7717/peerj-cs.1917
Figure Lengend Snippet: Comparison of the related literature on the different datasets.
Article Snippet: The cost-adjusted optimal ensemble approach can diagnose abnormal and normal HS with 97% and 88% accuracy, respectively, among employed classifiers. attempted to forecast heart disease in 2019 using the ensemble learning method utilizing the
Techniques: Comparison, Selection
Journal: PeerJ Computer Science
Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets
doi: 10.7717/peerj-cs.1917
Figure Lengend Snippet: Comparison of the related literature based on different datasets.
Article Snippet: The cost-adjusted optimal ensemble approach can diagnose abnormal and normal HS with 97% and 88% accuracy, respectively, among employed classifiers. attempted to forecast heart disease in 2019 using the ensemble learning method utilizing the
Techniques: Comparison