Identifying health conditions in older adults in textual health records using deep learning-based natural language processing

Many clinically significant health conditions in older adults are underreported or only recorded in unstructured health records. These records, however, contain valuable information for patient care and prognosis. This study utilized 10.6 million free-text entries from the electronic health records...

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Hlavní autoři:	Jake Lin, Anna Kuukka, Tomi Korpi, Anna Tirkkonen, Antti Kariluoto, Juho Kaijansinkko, Maija Satamo, Hanna Pajulammi, Markus J. Haapanen, Sergei Häyrynen, Eetu Pursiainen, Daniel Ciovica, Mikaela B. von Bonsdorff, Juulia Jylhävä
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-01-01
Edice:	Computational and Structural Biotechnology Journal
Témata:	Natural language processing Electronic health records Falls Incontinence Loneliness Mobility limitations
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S200103702500368X
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