Development of Deep Learning Models for Predicting In-Hospital Mortality Using an Administrative Claims Database: Retrospective Cohort Study

BACKGROUND: Administrative claims databases have been used widely in studies because they have large sample sizes and are easily available. However, studies using administrative databases lack information on disease severity, so a risk adjustment method needs to be developed. OBJECTIVE: We aimed to...

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Detalles Bibliográficos
Autores principales: Matsui, Hiroki, Yamana, Hayato, Fushimi, Kiyohide, Yasunaga, Hideo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881780/
https://www.ncbi.nlm.nih.gov/pubmed/34997958
http://dx.doi.org/10.2196/27936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881780/
https://www.ncbi.nlm.nih.gov/pubmed/34997958
http://dx.doi.org/10.2196/27936

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