Advances in survival analyses: machine learning methods and model comparison

This article is the second part of a series focused on survival analysis, specifically examining novel machine learning methods for predicting survival outcomes and assessing model performance. The authors aim to enhance understanding and practical application of these advanced techniques by providing R code and instructions for readers to implement the methods on their own data.