Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

ABSTRACT: For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment ...

The goal of liu.lab4.algorithms is to provide an R implementation of a multiple linear regression mode. This package was created for Lab 4 in the course 732A94 Advanced R Programming at Linköping ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

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The team tested the algorithm on Northeastern’s Agile X Scout Mini mobile robot.Matthew Modoono/Northeastern University Researchers at Northeastern University have developed a new algorithm that ...

D. W. Heck, N. R. Arnold, D. Arnold, TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behav. Res. Methods. 50, 264–284 (2018).

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...