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Table 2 Testing Results Using N-fold and Leave-one-out Cross-validation

From: Development of a brain MRI-based hidden Markov model for dementia recognition

Training Sets

Parameters

AD vs O

(mean ± sd)

AD vs M

(mean ± sd)

AD vs Y

(mean ± sd)

50%

Sensitivity

0.792 ± 0.087

0.933 ± 0.033

0.982 ± 0.020

 

Specificity

0.773 ± 0.070

0.900 ± 0.047

0.982 ± 0.019

 

Accuracy

0.782 ± 0.047

0.916 ± 0.026

0.982 ± 0.013

70%

Sensitivity

0.790 ± 0.087

0.934 ± 0.045

0.986 ± 0.025

 

Specificity

0.076 ± 0.084

0.891 ± 0.055

0.982 ± 0.023

 

Accuracy

0.783 ± 0.053

0.912 ± 0.035

0.984 ± 0.015

90%

Sensitivity

0.780 ± 0.169

0.934 ± 0.090

0.986 ± 0.048

 

Specificity

0.800 ± 0.163

0.891 ± 0.117

0.980 ± 0.050

 

Accuracy

0.790 ± 0.117

0.913 ± 0.065

0.983 ± 0.035

Leave-one-out

Sensitivity

0.813

0.933

0.987

 

Specificity

0.800

0.920

0.987

 

Accuracy

0.807

0.927

0.987

  1. AD, O, M, Y refer to elder AD, non-demented elder, middle-aged, and young, respectively