Machine learning-based analysis of factors influencing surgical duration in type A aortic dissection
Background: Stanford Type A aortic dissection (TAAD) is a life-threatening condition involving the ascending aorta and requires urgent surgery. This study developed 11 machine learning regression ...
Journal Editorial Report: The week's best and worst from Jason Riley, Allysia Finley and Kyle Peterson. Scale drives efficiency—for almost a century, industrial planners have relied on this simple ...
In childcare, the responsibility of preparing staff to meet high standards is enormous. From seasoned directors to brand-new classroom assistants, everyone needs clear guidance on keeping children ...
Abstract: The objective of this study is to apply machine learning techniques to predict firms’ environmental, social, and governance (ESG) performance. We employed ten supervised machine learning ...
Introduction: Water quality assessment is essential for monitoring and managing freshwater resources, particularly in ecologically and culturally significant areas like the Cradle of Humankind World ...
Seemingly overnight, the artificial intelligence (AI) race is on in corporate America, and leaders across industries are seizing every opportunity to integrate this transformative technology into ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Building on the above findings, we investigated the differences ...
Murillo Zerbinatto is a contributor from Brazil. He's an RPG enthusiast (with a focus on JRPGs) who has been around the world of games and content creation for more than five years now. He has a ...
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