Development of a machine learning-based prognostic prediction model and a web-based tool for pediatric hepatoblastoma: a Surveillance, Epidemiology, and End Results (SEER) database study

In brief

This study develops a machine learning-based prognostic model for pediatric hepatoblastoma using SEER database data, creating an accessible web-based tool for survival prediction. The research aims to improve clinical decision-making by providing clinicians with data-driven prognostic assessments for children with this rare liver malignancy.

Written by the GCMD Library team from the article.