From: Use of machine learning to analyse routinely collected intensive care unit data: a systematic review
Measure of predictive accuracy reporteda | ||||||
---|---|---|---|---|---|---|
Outcome predicted | Total papers | AUC and accuracy/sensitivity/specificity | AUC only | Accuracy/sensitivity/specificity only | R 2 | Otherb |
Complication | 73 (45.3%) | 24 (32.9%) | 17 (23.3%) | 28 (38.4%) | 4 (5.5%) | |
Mortality | 68 (42.2%) | 16 (23.5%) | 31 (45.6%) | 18 (26.5%) | 3 (4.4%) | |
Length of stay | 18 (11.1%) | 2 (11.8%) | 3 (16.7%) | 5 (27.8%) | 8 (44.4%) | 1 (5.6%) |
Health improvement | 16 (10%) | 1 (6.3%) | 3 (18.8%) | 11 (68.8%) | 1 (6.3%) | |
Total | 161 | 43 (26.7%) | 54 (33.5%) | 62 (38.5%) | 8 (5.0%) | 9 (5.6%) |