Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study

BMC Infectious Diseases

Table 3 Model performance for venous thromboembolism prediction in COVID-19 patients

Model	Misclassification Rate		R-square		AIC	BIC	Sensitivity	Specificity	PPV	NPV	AUC
Model	TS	VS	TS	VS	AIC	BIC	Sensitivity	Specificity	PPV	NPV	AUC
Multiple linear regression	NA	NA	25.39%	16.29%	50	355	NA	NA	NA	NA	NA
Multiple logistic regression	5.74%	9.64%	41.12%	3.79%	436	742	0.76	0.76	0.87	0.85	0.80
Decision tree	7.11%	9.65%	19.89%	11.35%	NA	NA	0.69	0.65	0.78	0.79	0.77
Random forest	6.84%	8.40%	58.89%	18.76%	NA	NA	0.68	0.82	0.26	0.97	0.83

AIC Akaike information criterion, AUC area under the curve, BIC Bayesian information criterion, NA not applicable, NPV negative predictive value, PPV positive predictive value, TS training set, VS validation set

ISSN: 1471-2334