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

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

Abstract 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...

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Bibliographic Details
Main Authors: Belal Alsinglawi, Osama Alshari, Mohammed Alorjani, Omar Mubin, Fady Alnajjar, Mauricio Novoa, Omar Darwish
Format: Article
Language:English
Published: Nature Portfolio 2022-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-04608-7

Internet

https://doi.org/10.1038/s41598-021-04608-7

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