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Table 1 Characteristics of the dataset

From: Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis

MS type

# patients

age (SD)

EDSS (SD)

F / M ratio

# visits

% worsening

Unknown

138

44 (12)

3.1 (2.0)

98 / 40

558

13.1

CIS

7

31 (11)

1.3 (0.8)

7 / 0

9

11.1

PPMS

12

57 (11)

4.0 (1.4)

7 / 5

74

12.2

RRMS

223

44 (11)

2.6 (1.5)

164 / 59

1592

9.6

SPMS

45

56 (8)

5.0 (1.5)

31 / 14

269

14.5

All

419

45 (12)

3.0 (1.8)

301 / 118

2502

11.0

  1. The final column (% worsening) represents the percentage of visits of patients that have worsened 2 years later. Abbreviations used: MS multiple sclerosis, SD standard deviation, EDSS expanded disability status scale, F female, M male, CIS clinically isolated syndrome, PPMS primary progressive MS, RRMS relapsing-remitting MS, SPMS secondary progressive MS
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