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Table 1 Performance measures for classification between ALS and PP for SVM, PCA-SVM, and PCA-LR: sensitivity, specificity, and AUC. In addition, the accuracy measures are also given for a SVM classification between ALS and PP based on the ALS- and PP-specific pattern expression scores as determined by PCA-SVM by using a healthy control group and projecting individual 18F-FDG PET scans onto the ALS and PP-specific metabolic brain patterns

From: Glucose metabolic brain patterns to discriminate amyotrophic lateral sclerosis from Parkinson plus syndromes

 

Sensitivity

Specificity

AUC

SVM

0.86 ± 0.01

0.82 ± 0.01

0.89 ± 0.01

PCA-SVM

0.86 ± 0.02

0.82 ± 0.02

0.90 ± 0.01

PCA-LR

0.85 ± 0.02

0.82 ± 0.02

0.90 ± 0.01

Classification based on ALS and PP expression scores (SVM)

0.90 ± 0.02

0.83 ± 0.01

0.91 ± 0.01