Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach
BackgroundSupervised machine learning (ML) is being featured in the health care literature with study results frequently reported using metrics such as accuracy, sensitivity, specificity, recall, or F1 score. Although each metric provides a different perspective on the performance, they remain to be...
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| Main Authors: | , , , |
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| Format: | Book |
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JMIR Publications,
2020-09-01T00:00:00Z.
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A1234.567 |
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