Table 3 |
|||
|
Sensitivity, specificity, positive predictive value, and negative predictive value of the training and validation group: comparing linear discriminant analysis and artificial neural network |
|||
|
Group |
Statistical accuracy |
Discriminant Analysis |
artificial neural network |
|
|
|||
|
Training |
Sensitivity |
50.7 |
61.6 |
|
specificity |
84.3 |
99.4 |
|
|
positive predictive value |
24.7 |
91.8 |
|
|
negative predictive value |
94.4 |
96.2 |
|
|
|
|||
|
validation |
Sensitivity |
55.5 |
66.7 |
|
specificity |
82.2 |
98.9 |
|
|
positive predictive value |
23.8 |
85.7 |
|
|
negative predictive value |
94.2 |
96.8 |
|
|
|
|||
|
The prediction models were created based on the data of training group. |
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|
Gholipour et al. BMC Surgery 2009 9:13 doi:10.1186/1471-2482-9-13 |
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