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KNIME GmbH
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BioMimetic Therapeutics
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RStudio
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Ceram GmbH
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SoftMax Inc
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RStudio
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StatLog Inc
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KNIME GmbH
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IDEAconsult Ltd
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Ceram GmbH
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RStudio
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Image Search Results
Journal: BMC Medical Informatics and Decision Making
Article Title: The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers
doi: 10.1186/s12911-021-01423-y
Figure Lengend Snippet: The performance of the different prediction models on T2D readmission
Article Snippet: The NB classification model was built on the basis of given training data by the
Techniques:
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: Cleveland And
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: Cleveland And
Techniques: Comparison
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: Hyperparameters tuning of the classifiers using grid search CV.
Article Snippet: Cleveland And
Techniques: Activation Assay
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: Performance of the classifiers on the single and the combined dataset without applying the proposed preprocessing pipeline.
Article Snippet: Cleveland And
Techniques:
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: Performance of the classifiers on different combinations of the datasets without applying the proposed pipeline.
Article Snippet: Cleveland And
Techniques:
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: Performance of the classifiers on the single and the combined dataset applying PCA on the proposed pipeline.
Article Snippet: Cleveland And
Techniques:
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: Performance of the classifiers on different combinations of the datasets applying PCA on the proposed pipeline.
Article Snippet: Cleveland And
Techniques:
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: Performance of the classifiers on the single and the combined dataset applying RF on the proposed pipeline.
Article Snippet: Cleveland And
Techniques:
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: Performance of the classifiers on different combinations of the datasets applying RF.
Article Snippet: Cleveland And
Techniques: