Nature

Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings

This study evaluates the diagnostic efficacy of automated machine learning (AutoGluon) with automated feature engineering and selection (autofeat), focusing on clinical manifestations, and a model ...
Nature

CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural ...

Accurate prediction of the carbonation depth of concrete is critical to avoid structural damage and ensure durability. However, predicting carbonation depth remains challenging due to the complexity ...