Public health (PH) is a priority in all societies worldwide. It is a branch of healthcare concerned with preserving and enhancing the health of the population. A key element of any effective and ...

Incomplete tetraplegia, incomplete paraplegia, and cauda equina syndrome are major neurological disorders that significantly reduce patients’ quality of life, primarily due to impaired motor function ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...