Donglin Li

An explainable machine learning model for type B aortic dissection identification: development and internal evaluation

Purpose Type B aortic dissection (TBAD) is a life-threatening cardiovascular emergency that requires timely recognition. This study aimed to develop and internally evaluate an explainable machine learning model for identifying existing TBAD using routinely available clinical history and admission laboratory data. Metho...