Abstract: Chronic Kidney Disease (CKD) remains a critical health issue on a global scale, often progressing undiagnosed until advanced stages. In this research, a machine learning (ML)-based ...
The Chosun Ilbo on MSN
Humanoid robot trains for logistics packaging
The robot control laboratory at Kwangwoon University’s Nuri Hall in Seoul, visited on the 29th of last month, resembled a “mini logistics center” of Lotte Global Logistics, a logistics and parcel ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Purpose: To develop and interpret a clinical prediction model for identifying children at risk of poor 5-year axial length (AL) control following orthokeratology (Ortho-K) lens wear, integrating ...
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