DEVELOPMENT AND VALIDATION OF AN INTERPRETABLE MACHINE LEARNING MODEL FOR PREDICTING LEFT ATRIAL THROMBUS OR SPONTANEOUS ECHO CONTRAST IN NON-VALVULAR ATRIAL FIBRILLATION PATIENTS.

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 me

Se trata de una reflexión en la que se exploran las significaciones imaginarias que se materializan en los discursos publicitarios sobre los Cyclist Accessories - Gloves aparatos lectores de libros digitales comúnmente denominados  e-readers.Se sostiene que participan significaciones imaginarias asociadas tanto al imaginario neotecnológico de l