IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...
IEEE

Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning

Abstract: Accurate early prediction of epileptic seizures is crucial for improving patients' quality of life. However, existing seizure prediction methods often rely on large-scale labeled datasets ...

ESW Expands ExcelHelp.com to Deliver Microsoft Excel, Copilot, and AI Training Nationwide

ESW announced today the continued growth of ExcelHelp.com, its national Microsoft training and automation brand focused on ...
Frontiers

Critical considerations for the use of deep learning models in clinical oncology prediction

In a recent study on clinical prediction models, Liu (1) and colleagues developed a deep learning model to predict ALN pCR in ALN-positive breast cancer patients undergoing NAT by analyzing ...
GitHub

VaishnaviKudale0107/Future-Location-Prediction

A comprehensive machine learning web application for predicting future locations based on temporal movement patterns. Built with Streamlit, this system provides an interactive interface for data ...
Forbes

5 Predictions For 2026: From 'Can We Use AI?' To 'Can We Trust It?'

Manish Sood is the founder and CEO of Reltio, a real-time context intelligence platform powering enterprise AI and innovation. January is the season for bold predictions, but the shift facing ...