In response to the challenges posed by the high computational complexity and suboptimal classification performance of traditional random forest algorithms when dealing with high-dimensional and noisy ...

We aim to develop a predictive model to identify children with gastrointestinal congenital malformations at high risk of 30-day mortality following intervention or hospital admission. The overall ...