From: Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records
Type of error
N (%)
Evidence not in the model
13 (38)
Evidence removed by negation/speculation filter
12 (35)
Spelling variations
5 (15)
Labeling error
4 (12)