Area Under Curve (ROC) | Sensitivity | Specificity | Negative predictive value | Positive predictive value | |
---|---|---|---|---|---|
Algorithms (Traditional pre-selected codes) | |||||
Algorithm 1 | 0.894 ± 0.04 | 0.833 ± 0.08 | 0.955 ± 0.005 | 0.999 ± 0.001 | 0.124 ± 0.016 |
Algorithm 2 | 0.946 ± 0.064 | 0.906 ± 0.128 | 0.986 ± 0.001 | 0.999 ± 0.001 | 0.325 ± 0.049 |
Algorithm 3 | 0.816 ± 0.13 | 0.669 ± 0.261 | 0.962 ± 0.004 | 0.997 ± 0.002 | 0.115 ± 0.04 |
Machine learning models | |||||
ICD Model | 0.961 ± 0.06 | 0.903 ± 0.129 | 0.987 ± 0.009 | 0.999 ± 0.001 | 0.378 ± 0.133 |
ICD & CCI Model | 0.968 ± 0.043 | .9 ± 0.13 | 0.99 ± 0.004 | 0.999 ± 0.001 | 0.416 ± 0.047 |
Unique Code | |||||
T827 | 0.936 ± 0.006 | 0.881 ± 0.009 | 0.991 ± 0.005 | 0.999 ± 0.0 | 0.428 ± 0.119 |