European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
BIOENGINEER

Machine learning with patient words sharpens emergency triage classification

A retrospective cohort study of 64,382 adult emergency department patients in Brazil found that adding natural language ...
BIOENGINEER

Blood Test Model Built with Machine Learning Distinguishes First-Episode Schizophrenia from Healthy Controls

A retrospective case-control study from a single Chinese hospital built an internally validated machine learning model using ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
MarketScreener

WiMi Hologram Cloud Inc. Studies Hybrid Quantum Neural Network Architecture With Classical-Quantum Synergistic Innovation To Enhance Efficiency And Accuracy In Image Classification

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...