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Lung Cancer Screening Eligibility Models by Palanivel Kuppusamy is a document available to read on EtoBox.

This study developed and validated parsimonious ensemble machine learning models to assess eligibility for lung cancer screening among ever-smokers. Utilizing data from the UK Biobank and the US National Lung Screening Trial, the models demonstrated comparable performance to existing complex models while requiring significantly fewer predictors. The findings suggest that these simplified models could enhance the implementation of risk-based lung cancer screening programs, potentially reducing mortality rate

Author
Palanivel Kuppusamy
Language
EN