Table 15 Prediction model results stratified across sex and age groups for death (F1-w is the weighted F1 score).

From: At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

Models

AUC

Accuracy

F1-w

Sensitivity

Sex

Male

Logistic regression

72.4

64.4

67.0

71.2

XGBoost

74.0

64.2

66.8

74.6

Female

Logistic regression

72.9

67.9

70.8

65.1

XGBoost

74.0

66.3

69.6

70.4

Age

20–40

Logistic regression

67.8

93.4

90.2

0.0

XGBoost

70.2

93.1

90.5

4.2

40–60

Logistic regression

62.9

77.8

76.2

18.1

XGBoost

65.0

74.3

75.2

32.1

60–80

Logistic regression

61.7

47.6

46.4

85.8

XGBoost

63.6

46.9

44.9

89.2