The paper reports near-perfect Random Forest and SVM classification of COVID-19 death, but the result is invalidated by data leakage, selection bias, and inconsistent validation.
Available from: https://www.researchgate.net/figure/Pseudocode-for-SVM-Classifier_fig1_331875695[accessed 4 Dec, 2020]
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Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers
The paper reports near-perfect Random Forest and SVM classification of COVID-19 death, but the result is invalidated by data leakage, selection bias, and inconsistent validation.