INTEGRATING CO-CLUSTERING AND INTERPRETABLE MACHINE LEARNING FOR THE PREDICTION OF INTRAVENOUS IMMUNOGLOBULIN RESISTANCE IN KAWASAKI DISEASE

Integrating Co-Clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease

Identifying intravenous immunoglobulin-resistant patients is essential for the prompt and optimal treatment of Kawasaki disease, suggesting the need for effective risk assessment tools.Data-driven approaches have the potential to identify the high-risk individuals by capturing the complex patterns of real-world data.To enable clinically applicable

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Online Classification of Road Roughness Conditions with Vehicle Unsprung Mass Acceleration by Sliding Time Window

Suspension control systems are in need for more information of road roughness conditions to improve their performance under different roads.Existing methods of gauging road roughness are limited, and they usually involve visual inspections or special vehicles equipped with instruments that can gauge physical measurements of road irregularities.This

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A Parachute Suturing Technique for Rotator Cuff Tear

Rotator cuff tear is a common type of injury.For the treatment of rotator cuff Bedroom Package tears, arthroscopic surgery is widely used.However, for massive rotator cuff tears, the rate of recurrent tears after arthroscopic surgical repair is higher.This article describes Worktop Organiser an improved double-row suture technique combining vertica

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Space, Religious Diversity, and Negotiation Processes

After a literature review of space, urbanity, and religion, this article identifies some descriptive categories and analytical frameworks to theorize problems faced by religious minorities, especially Muslims, in obtaining space for their cemeteries and places of worship.A second section focuses on debates and an analysis related to these themes in

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