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Table 5 Classification results and contingency table for logistic regression model based on clinical data and fall risk assessment tests

From: Sensors vs. experts - A performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients

model CONV

classification accuracy

72%

    

sensitivity

68%

 

contingency table

 

specificity

74%

 

fall within one year

 

negative predictive value

77%

 

yes

no

Sum

positive predictive value

65%

pred. yes

13

7

20

Brier score

0.20

pred. no

6

20

26

AUC

0.74

sum

19

27

46

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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