Interactional dynamics of self-assessment and advice in peer reflection on microteaching

Peer reflection on microteaching plays a crucial role in teachers' training programs as it equips novice teachers with ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
News-Medical.Net

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Scientific Research Publishing

Mubarak, A. A., Cao, H., & Ahmed, S. A. M. (2020). Predictive Learning Analytics Using Deep Learning Model in MOOCs’ Courses Videos. Education and Information Technologies ...

ABSTRACT: In this paper, we explore the application of predictive modeling within the field of Learning Analytics (LA) to forecast student academic success in higher education. Utilizing the Open ...
Scientific Research Publishing

Xie, Z., Jin, J., Liu, D.S., et al. (2024) Construction of a Predictive Model for the Death Risk of Patients with Septic Shock Based on Supervised Machine Learning Algorithms ...

ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
IEEE

USTEP: Spatio-Temporal Predictive Learning Under a Unified View

Abstract: Spatio-temporal predictive learning plays a crucial role in self-supervised learning, with wide-ranging applications across a diverse range of fields. Previous approaches for temporal ...