From: Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke
Stroke subtype | Precision (i.e. positive predictive value) (95% CI) | Recall (i.e. sensitivity) (95% CI) | ||
---|---|---|---|---|
From codes (based on previous work [2]) | From automated method | From codes (based on previous work [2]) | From automated method | |
ICH | 42% (31–54%) (11/26) | 89% (52–100%) (8/9) | 100% (72–100%) (11/11) | 89% (52–100%) (8/9) |
SAH | 71% (54–83%) (17/24) | 82% (57–96%) (14/17) | 100% (80–100%) (17/17) | 82% (57–96%) (14/17) |
IS | 83% (75–89%) (73/88) | 73% (65–81%) (91/124) | 49% (41–57%) (73/149) | 64% (56–72%) (91/142) |
IS (including cases with an unspecified subtype assigned as IS) | 80% (76–83%) (147/184) | 77% (71–83%) (141/182) | 99% (95–100%) (147/149) | 99% (96–100%) (141/142) |