Machine learning models predict total charges and drivers of cost for transcatheter aortic valve replacement

BACKGROUND: Given the increasing healthcare costs, there is an interest in developing machine learning (ML) prediction models for estimating hospitalization charges. We use ML algorithms to predict hospitalization charges for patients undergoing transfemoral transcatheter aortic valve replacement (T...

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Detalles Bibliográficos
Autores principales: Bansal, Agam, Garg, Chandan, Hariri, Essa, Kassis, Nicholas, Mentias, Amgad, Krishnaswamy, Amar, Kapadia, Samir R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412209/
https://www.ncbi.nlm.nih.gov/pubmed/36033228
http://dx.doi.org/10.21037/cdt-21-717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412209/
https://www.ncbi.nlm.nih.gov/pubmed/36033228
http://dx.doi.org/10.21037/cdt-21-717

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