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 ...
BIOENGINEER

New Model Tames Uncertainty in Multi-View Machine Learning

A new Applied Intelligence study proposes UOMC, a multi-view classification model that quantifies view-specific uncertainty and reports accuracy gains on benchmark datasets.
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 ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
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, ...

Quantum models predict lung cancer using limited training data in preliminary tests

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

Label Design in Financial Machine Learning: Triple Barrier Method, Meta-Labeling, and Pitfalls of Prediction Accuracy

In quantitative trading research, a significant amount of time is spent on model architecture, feature engineering, and ...
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 ...