An explainable machine learning framework for lung cancer hospital length of stay prediction

This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using machine learning (ML) models. The framework proposed to deal with imbalanced datasets for classification-based approaches using electronic healthcare records (EHR). We have utilized supervised ML methods...

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Detalles Bibliográficos
Autores principales: Alsinglawi, Belal, Alshari, Osama, Alorjani, Mohammed, Mubin, Omar, Alnajjar, Fady, Novoa, Mauricio, Darwish, Omar
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/PMC8755804/
https://www.ncbi.nlm.nih.gov/pubmed/35022512
http://dx.doi.org/10.1038/s41598-021-04608-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755804/
https://www.ncbi.nlm.nih.gov/pubmed/35022512
http://dx.doi.org/10.1038/s41598-021-04608-7

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