Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations

<div>Subgroup false-positive rate (FPR) for different models. (a) C5 model on feature set 1. (b) C5 model on feature set 2. (c) SVM model on feature set 3. (d) Ensemble model on feature set 2.</div>

Journal of Healthcare Engineering

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Figure 2: Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations 

Figure 2 | Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations 