Objective: This study aims to construct a diagnostic model for diabetic kidney disease (DKD) with concurrent vascular calcification (VC) using bioinformatics combined with machine learning approaches ...
Abstract: Software projects often fail due to poor effort estimation, which can lead to issues such as wasted time and resources. Developing software requires significant time, money, and skilled ...
Abstract: Federated Learning (FL) allows multiple clients to collaboratively train machine learning models without the need to share their local private data. As a result, it can effectively address ...
A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk ...
The centroid radii model (CRM)—defined as the distance from aneurysm surface points to the centroid—has shown promise in distinguishing ruptured from unruptured intracranial aneurysms by capturing ...