Novel insights into predicting the presence of micropapillary and solid components in stage IA lung adenocarcinoma using machine learning models of modifiable risk factors

An interpretable KNN model was successfully developed to predict the presence of MP/S components in stage IA LUAC patients, demonstrating superior predictive performance. Accurate evaluation of relevant tumor characteristics possesses substantial clinical significance, as it enables guidance on the optimization of surgical approaches to enhance patient prognosis.