Automatic Detection of Osteoporosis in Electronic Consultation (eConsult) Service Using Natural Language Processing [Health care informatics]
Annals of Family Medicine
NOVEMBER 20, 2024
Outcome Measures We used a combination of evaluation indices, such as accuracy, precision, recall, to decide the optimum feature engineering approach and model. Results Training sample from eConsult, TFIDF transformation with the Stochastic Gradient Descent model could distinguish osteoporosis cases by 91% accuracy.
130 
Let's personalize your content