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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Podrobná bibliografie
Hlavní autoři: Belal Alsinglawi, Osama Alshari, Mohammed Alorjani, Omar Mubin, Fady Alnajjar, Mauricio Novoa, Omar Darwish
Médium: Článek
Jazyk:English
Vydáno: Nature Portfolio 2022-01-01
Edice:Scientific Reports
On-line přístup:https://doi.org/10.1038/s41598-021-04608-7