Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Abstract: Federated Learning (FL) has emerged as a revolutionary approach in healthcare, facilitating decentralized machine learning model training across multiple institutions while mitigating key ...

Abstract: The current challenge, in the cyber world is to identify and categorize software. To tackle this machine learning can be utilized to detect and classify malware by analyzing patterns, ...