Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study

Our objective was to develop deep learning models with chest radiograph data to predict healthcare costs and classify top-50% spenders. 21,872 frontal chest radiographs were retrospectively collected from 19,524 patients with at least 1-year spending data. Among the patients, 11,003 patients had 3 y...

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Detalles Bibliográficos
Autores principales: Sohn, Jae Ho, Chen, Yixin, Lituiev, Dmytro, Yang, Jaewon, Ordovas, Karen, Hadley, Dexter, Vu, Thienkhai H., Franc, Benjamin L., Seo, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117267/
https://www.ncbi.nlm.nih.gov/pubmed/35585177
http://dx.doi.org/10.1038/s41598-022-12551-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117267/
https://www.ncbi.nlm.nih.gov/pubmed/35585177
http://dx.doi.org/10.1038/s41598-022-12551-4

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