We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

In a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), the GBD 2023 Headache ...

Could you defend your customer feedback metrics on an earnings call with the same confidence you defend your revenue ...

Abstract: Researchers confront significant challenges when classifying and modeling data due to the growing system complexity, data volume, and requirement for accurate and reliable models.

Background: The preschool period is critical for children’s motor development and neural maturation. Fundamental motor skill development during this stage directly influences the nervous system’s ...

Researchers identified 7 distinct phenotypic clusters among pediatric patients with Behçet disease, with manifestations varying based on geography and system involvement. Findings from an ...

The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the elements of ...

1 Graduate Program in Electrical Engineering and Industrial Informatics (CPGEI-CT), Federal University of Technology - Paraná (UTFPR), Curitiba, Brazil 2 Graduate Program in Electrical and Computer ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...

With his own research group and as a professor at Queens College, he plumbed raw data for often-surprising insights about the way the country was changing. By Sam Roberts Andrew A. Beveridge, a ...

ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...