Table 3.
Tacrolimus |
Lamotrigine |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Precision | Recall | F-measure | Precision | Recall | F-measure | |||||||
Training set performancea | ||||||||||||
medExtractR | 0.99 (0.98, 1.00) | 1.00 (1.00, 1.00) | 0.99 (0.99, 1.00) | 1.00 (0.99, 1.00) | 0.97 (0.94, 1.00) | 0.98 (0.97, 1.00) | ||||||
MedEx | 0.79 (0.74-0.84) | 0.74 (0.69-0.79) | 0.76 (0.72-0.81) | 0.91 (0.87-0.95) | 0.73 (0.63-0.84) | 0.81 (0.74-0.87) | ||||||
MedXN | 0.96 (0.93-0.99) | 0.90 (0.84-0.95) | 0.93 (0.89-0.96) | 0.96 (0.93-0.99) | 0.76 (0.64-0.87) | 0.85 (0.76-0.92) | ||||||
CLAMP | 0.83 (0.77-0.88) | 0.60 (0.54-0.65) | 0.70 (0.64-0.74) | 0.94 (0.90-0.97) | 0.57 (0.46-0.68) | 0.71 (0.62-0.79) | ||||||
Test set performance | ||||||||||||
medExtractR | 0.97 (0.95-0.99) | 1.00 (0.99, 1.00) | 0.98 (0.97, 1.00) | 0.97 (0.94, 1.00) | 0.96 (0.91-0.99) | 0.96 (0.94-0.98) | 0.96 (0.92-0.99) | 0.98 (0.96, 1.00) | 0.97 (0.95-0.99) | |||
MedEx | 0.77 (0.71-0.84) | 0.76 (0.71-0.82) | 0.77 (0.71-0.82) | 0.92 (0.87-0.96) | 0.82 (0.74-0.89) | 0.87 (0.81-0.91) | 0.94 (0.90-0.97) | 0.94 (0.86-0.98) | 0.94 (0.89-0.97) | |||
MedXN | 0.96 (0.92-0.98) | 0.96 (0.92-0.99) | 0.96 (0.93-0.98) | 0.93 (0.89-0.96) | 0.83 (0.74-0.90) | 0.88 (0.82-0.92) | 0.97 (0.94-0.99) | 0.97 (0.93, 1.00) | 0.97 (0.94-0.99) | |||
CLAMP | 0.84 (0.78-0.91) | 0.65 (0.58-0.71) | 0.73 (0.68-0.79) | 0.94 (0.90-0.97) | 0.66 (0.57-0.74) | 0.78 (0.70-0.84) | 0.96 (0.93-0.99) | 0.81 (0.75-0.87) | 0.88 (0.84-0.92) |
Values are presented as estimate (95% bootstrap confidence interval). Results are based on 60 training notes and 50 test notes each for tacrolimus and lamotrigine, and 110 test notes for allopurinol. These are overall results, combining performance across the entities drug name, strength, dose amount, and frequency, which were standardized across systems to ensure comparability.
aThe training set is for medExtractR, and served as another test set for the 3 existing natural language processing systems.