Table 1.

Demographic characteristics of eligible EMRPC individuals in the cohort used for algorithm development

	Definitive NF1 N = 71	Possible NF1 N = 37	Not NF1 N = 273,331
Age (mean ± SD)	39.3 ± 23.0	41.1 ± 24.8	43.9 ± 23.0
Sex (female)	36 (50.7%)	19 (51.4%)	152,514 (55.8%)
Follow up time, years (mean ± SD)	7.09 ± 3.2	8.97 ± 5.3	6.45 ± 3.5
Rural	10 (14.1%)	8 (21.6%)	49,464 (18.1%)
Urban	61 (85.9%)	29 (78.4%)	222,819 (81.5%)
Income quintile 1	14 (19.7%)	13 (35.1%)	44,464 (16.3%)
Income quintile 2–3	24 (33.8%)	10 (27.0%)	102,704 (37.6%)
Income quintile 4	14 (19.7%)	6 (16.2%)	50,024 (21.2%)
Income quintile 5	19 (26.8%)	8 (21.6%)	66,778 (24.4%)

Income quintile using nearest census based neighbourhood

EMRPC electronic medical record database