Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Orbiit Recovery Ecosystem Advances the Use of AI and Machine Learning in Addiction Recovery

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

As Search Engines Shift Toward AI, Businesses Rethink How Content Earns Visibility and Trust

LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...
IEEE

Multi-Criteria Decision Making Framework for Ranking Machine Learning Models

Abstract: Traditional machine learning(ML) studies often rely on a single performance metric, such as accuracy, which can be misleading when metrics conflict or datasets are imbalanced. To enable a ...

Satellite imagery and AI reveal development needs hidden by national data

For years, Iceland, Switzerland, and Norway have ranked near the top of the United Nations' annual index of countries based on indicators of well-being and quality of life. Countries with more poverty ...

Decoding environmental toxicity: a network-based view of chemical harm

Environmental exposure to thousands of synthetic chemicals poses a growing challenge for public health, largely because their biological effects are complex, multiscale, and poorly characterized. This ...
IEEE

Design for LDMOS Device Based on Machine Learning

Abstract: The LDMOS design involves physical-based TCAD simulations and multiple rounds of experiment to calibrate models and optimize parameters. However, due to limited experimental data, the ...