Regular expression-based learning to extract bodyweight values from clinical notes
REDEx accurately extracted weight from outpatient primary care notes. Extracted values were reliable (highly correlated with values from structured field). Unique values (2 per individual per year) were identified. This method can reduce missing/mistimed values in cohort identification. REDEx is flexible and can be retrained to textual expressions.
bodyweight natural language processing text classification