A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

The code isn’t the most illuminating aspect of Wall Street’s current AI sprint. It’s the atmosphere. Credit traders are half-listening to a risk presentation while scrolling through live pricing in ...

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who ...

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

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

A new report finds that of 154 specific claims about how AI will benefit the climate, just a quarter cited academic research.