Mediafeed on MSN

Context & outcomes: How LLMs tell you what you want to hear

Would you join a company where 85% of employees stay longer than two years? Or one where 15% of employees leave within two ...
IEEE

A Federated Learning Approach for Telerehabilitation Outcome Prediction in Parkinson's Disease

Abstract: In this study, we propose a telerehabilitation system designed to remotely monitor patients and analyze data collected from wearable devices throughout a 12-week physical exercise program.
IEEE

A Fuzzy-Logic-Based Student Learning Assessment System for Outcome-Based Education

Abstract: Contribution: This research designs a student evaluation framework integrating the fuzzy-logic system that assesses the student’s performances in the soft boundary system for outcome-based ...
Frontiers

Using machine learning methods to investigate the impact of comorbidities and clinical ...

Background: This study aims to develop a machine learning model to predict the 30-day mortality risk of hospitalized COVID-19 patients while leveraging federated learning to enhance data privacy and ...
jnis.bmj

Prediction of favorable outcomes of acute basilar artery occlusion using machine learning

Background This study aims to develop an interpretable machine learning model using SHapley Additive exPlanations (SHAP) to predict favorable outcomes based on clinical, imaging, and angiographic data ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...