Machine Learning-Based Survival Time Prediction in Colorectal Cancer with Peritoneal Metastasis: A Multi-Institutional Registry-Based Study
Yoshiko Bamba, Michio Itabashi, Hirotoshi Kobayashi, Kenjiro Kotake et autres
Background: Prognostic prediction for colorectal cancer patients with peritoneal metastasis remains challenging due to clinical and biological heterogeneity. We aimed to evaluate the utility of machine learning, comparing high-performance boosting models with interpretable regression approaches for overall survival (OS) prediction. Methods: We …
jp, us (code pays fourni par la source)
0 citations
Preprints.org