Application of machine learning for lung cancer survival prognostication—A systematic review and meta-analysis
Alexander J. Didier,
Anthony Nigro,
Zaid Noori
et al.
Abstract:IntroductionMachine learning (ML) techniques have gained increasing attention in the field of healthcare, including predicting outcomes in patients with lung cancer. ML has the potential to enhance prognostication in lung cancer patients and improve clinical decision-making. In this systematic review and meta-analysis, we aimed to evaluate the performance of ML models compared to logistic regression (LR) models in predicting overall survival in patients with lung cancer.MethodsWe followed the Preferred Reporti… Show more
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