Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems

OBJECTIVE: To evaluate whether a natural language processing (NLP) algorithm could be adapted to extract, with acceptable validity, markers of residential instability (ie, homelessness and housing insecurity) from electronic health records (EHRs) of 3 healthcare systems. MATERIALS AND METHODS: We in...

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Detalles Bibliográficos
Autores principales: Hatef, Elham, Rouhizadeh, Masoud, Nau, Claudia, Xie, Fagen, Rouillard, Christopher, Abu-Nasser, Mahmoud, Padilla, Ariadna, Lyons, Lindsay Joe, Kharrazi, Hadi, Weiner, Jonathan P, Roblin, Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867582/
https://www.ncbi.nlm.nih.gov/pubmed/35224458
http://dx.doi.org/10.1093/jamiaopen/ooac006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867582/
https://www.ncbi.nlm.nih.gov/pubmed/35224458
http://dx.doi.org/10.1093/jamiaopen/ooac006

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