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Automatic Detection of Osteoporosis in Electronic Consultation (eConsult) Service Using Natural Language Processing [Health care informatics]

Annals of Family Medicine

Context The primary care practitioners’ (PCP) perceptions of disease given patients’ conditions are reflected in their narrated questions to specialists while using eConsult, an online primary care service. We then used pretrained Language Model (BERT) to extract important terms associated with contrasting segments of data.