PurposeLeft atrial thrombus or spontaneous echo contrast (LAT/SEC) are widely recognized as significant contributors to cardiogenic embolism in non-valvular atrial fibrillation (NVAF). This study aimed to construct and validate an interpretable predictive model of LAT/SEC risk in NVAF patients using machine learning (ML) methods. MethodsElectronic medical records (EMR) data of consecu... https://thegreensjunglebeautyshops.shop/product-category/brow-pencil/