News-Medical.Net

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
IEEE

Comparative study of Machine Learning, Deep Learning and Bayesian Models on the ORL Faces Dataset for Effectual Face Recognition

Abstract: This study compares face recognition performance between machine learning, deep learning, and probabilistic reasoning models. On the ORL dataset from Kaggle, the Machine Learning (ML) model ...
Frontiers

Unraveling the PFOS-NSCLC axis: integrated network toxicology, machine learning, and causal inference identify EIF4EBP1 as a key molecular hub

Perfluorooctanesulfonic acid (PFOS) is a persistent environmental pollutant with suspected carcinogenic potential; however, the molecular mechanisms driving PFOS-associated non-small cell lung cancer ...
IEEE

A Sparse Bayesian Learning Method for Moving Target Detection and Reconstruction

Abstract: Moving target detection in a disturbing environment has been significantly active and challenging for underwater acoustic array signal processing. One of the most effective approaches is ...