Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

This survey delves into various machine learning techniques developed to address the difficulties posed by imbalanced data. It discusses data-level methods such as oversampling and undersampling, ...

The study intended to solve a basic machine learning problem by converting these factors into numerical values, which allowed the algorithms to understand and use every relevant information during the ...