Tag: support vector machine

A machine learning model combining a deep learning signature from spinal X-rays with clinical features accurately predicts short-term structural damage ...

Researchers trained AI models on short Spanish first-contact clinical notes and found the algorithms detected suicidal behavior more accurately than ...

A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age, professional identity, depression ...

A 50-nanometer gold-coated optical fiber sensor combined with a machine-learning classifier distinguishes bovine, porcine, and fish gelatin with 96.55% accuracy ...

A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...

A machine learning study of 601 young adults with repeated nonsuicidal self-injury identified self-injury frequency, mood disorder diagnoses, and low ...

A resting-state fMRI study of 231 participants finds that recurrent depression with suicidal ideation shows distinct impairments in large-scale brain ...

Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...

A new systematic review and meta-analysis finds that machine learning models can predict speech-in-noise performance with moderate to high accuracy, ...

Researchers adapted a swarm intelligence algorithm modeled on great white shark hunting behavior to select the most informative genes from ...