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

Researchers developed a machine learning model using SEER registry data to predict survival outcomes in pediatric hepatoblastoma patients. The study created an accessible web-based tool that clinicians can use for individualized prognostic assessment and treatment planning in this rare pediatric liver cancer.

Written by the GCMD Library team from the article.