Un modello predittivo basato su apprendimento automatico per la metastasi dei linfonodi nei pazienti anziani con cancro gastrico precoce e prognosi.

Lymph node metastasis (LNM) plays a key role in the treatment of patients with early gastric cancer (EGC), especially elderly patients (over 65 years old). The accurate preoperative prediction of LNM is still a challenge, and studies of elderly patients are lacking. The purpose of this study was to develop and validate an effective model based on machine learning to predict the risk of preoperative LNM in elderly patients with EGC. The data of 1578 patients from 2010 to 2020 were extracted from the Surveillance Epidemiology and End Results (SEER) database. Five different machine learning algorithms were applied to construct the models. The external validation data were obtained from 127 elde