Predicting future falls in older people using natural language processing of general practitioners’ clinical notes

BACKGROUND: Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall-prone individuals and lower clinical workload. Ho...

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Detalles Bibliográficos
Autores principales: Dormosh, Noman, Schut, Martijn C, Heymans, Martijn W, Maarsingh, Otto, Bouman, Jonathan, van der Velde, Nathalie, Abu-Hanna, Ameen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071555/
https://www.ncbi.nlm.nih.gov/pubmed/37014000
http://dx.doi.org/10.1093/ageing/afad046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071555/
https://www.ncbi.nlm.nih.gov/pubmed/37014000
http://dx.doi.org/10.1093/ageing/afad046

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