Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.

We present parsimonious ensemble machine learning models to predict the risk of lung cancer in ever-smokers, demonstrating a novel approach that could simplify the implementation of risk-based lung cancer screening in multiple settings.