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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.

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Preemies receive sucrose for pain relief—new research shows it doesn't stop long-term impacts on development

Medical Xpress

While many of these procedures provide critical care, we know they are acutely painful. Provided by The Conversation This article is republished from The Conversation under a Creative Commons license. The content is provided for information purposes only. During this time, they receive up to 16 painful procedures every day.

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