Explainable machine learning predicts survival of retroperitoneal liposarcoma: A study based on the SEER database and external validation in China.
Journal:
Cancer medicine
PMID:
38847519
Abstract
OBJECTIVE: We have developed explainable machine learning models to predict the overall survival (OS) of retroperitoneal liposarcoma (RLPS) patients. This approach aims to enhance the explainability and transparency of our modeling results.