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Table 4 Sensitivity (%) of different classifiers in selected neuromuscular disease groups during 21-fold cross-validation

From: Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial

Diagnostic group Classifier system MdMya (1) MP (2) SMA (3) ALS (4) PNP (5) Otherb (6) NNDc (7)
SVM 92 84 38 78 77 56 89
RF 100 93 69 93 73 63 97
LR 84 86 56 81 73 81 94
NB 94 88 56 52 73 75 92
LD 94 88 69 81 77 81 94
NN 76 81 44 52 64 50 94
Fusion 96 93 69 81 86 81 97
  1. SVM support vector machine, RF random forest, LR logistic regression, NB naive Bayes, LD linear discriminant analysis, NN nearest neighbor
  2. aincluding patients with Duchenne and Becker muscular dystrophy (MD), oculopharyngeal muscular dystrophy (OPMD), proximal myotonic myopathy (PROMM), facioscapulohumeral MD, progressive MD, limb-girdle-MD, myotonia congenita Thomsen
  3. bincluding patients with chronic progressive external opthalmoplegia (CPEO) -plus, polymyositis, Lambert-Eaton myasthenic syndrome, Ullrich congenital muscular dystrophy, Miyoshi myopathy, Friedreich ataxia, primary lateral sclerosis (PLS), spinal and bulbar muscular atrophy (SBMA), and chronic inflammatory demyelinating polyneuropathy (CIDP)
  4. c NND no neuromuscular disease
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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