Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients

Table 1

Related studies on mortality prediction for COVID-19 patients.

Reference	Technique	Dataset	Target class	Result
[10]	XGB	404 patients	Death, survived	0.95 precision
				0.90 accuracy
[11]	XGB	1747 COVID-19 patients	Fatal, severe	Accuracy 0.668 (fatality)
				0.712 (severe)
[12]	SVM	336 COVID-19 patients	Severe, critical	0.775 accuracy
[13]	SVM	137 COVID-19 patients	Severe, nonsevere	0.815 accuracy
[14]	LR	115 COVID-19 patients	Severe, nonsevere	0.881 AUROC
				0.839 sensitivity
				0.794 specificity
[5]	SVM	303 patients	Negative, positive cases	0.967 accuracy
[15]	XGB	3927 COVID-19 patients	—	0.85 accuracy
				0.90 AUC
[16]	LR	1696 COVID-19 patients	Home, deceased	0.89 AUC
				0.82 sensitivity
				0.81 specificity
[17]	SVM (linear)	8000 COVID-19 patients	Mortality, recovered	0.962 AUC
				0.92 sensitivity
				0.91 specificity