Skip to main content

Table 1 Population’s characteristics

From: Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach

Parameter

M

F

Total

Missing

Number of patients (%)

241 (49.5%)

246 (50.5%)

487

/

Number of eyes (%)

444 (48.7%)

468 (51.3%)

912

/

Number of healthy eyes (%)

138 (31.1%)

150 (32.1%)

288 (31.6%)

/

Age (mean+/−std)

65.3 +/− 14.9

70.5 +/− 12.7

68 +/− 14.1

/

Soft drusen positive (%)

21 (6.4%)

62 (17.9%)

83 (12.4%)

240 (26.3%)

Macular scar positive (%)

19 (5.8%)

32 (9.2%)

51 (7.6%)

237 (26%)

RPE defect/pigment mottling positive (%)

82 (25.2%)

118 (34.1%)

200 (29.8%)

240 (26.3%)

Depigmentation area positive (%)

95 (29.1%)

134 (38.7%)

229 (34.1%)

240 (26.3%)

Subretinal fluid positive (%)

79 (21.8%)

50 (13.4%)

129 (17.5%)

176 (19.3%)

Macular tickness (mean+/−std)

297.4 +/− 64.8

277 +/− 54.5

286.8 +/− 60.5

149 (16.3%)

Subretinal fibrosis positive (%)

18 (5.7%)

26 (7.5%)

44 (6.6%)

248 (27.2%)

Subretinal hemorrhage positive (%)

16 (5.2%)

19 (5.9%)

35 (5.5%)

281 (30.8%)

AMD diagnosis (%)

100 (22.5%)

147 (31.4%)

247 (27.1%)

/

  1. Percentages of attributes are calculated considering the total of eyes with no missing values for the specific attribute in the strata (Male/Female) and total.