Tag: feature selection

A hybrid deep learning and radiomics framework can detect subjective cognitive decline, the earliest preclinical stage of Alzheimer's disease, from ...

A new machine learning study identifies ten key bacterial species and visualizes the abundance thresholds that separate healthy vaginal microbiomes ...

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...

Researchers have developed ProD, a visualizable filter feature selection method that ranks variables by measuring the geometric overlap between class ...

A pilot machine learning study of 20 mother-child dyads found that maternal lactation nutrients such as phosphatidylcholine, glutathione, and glycemic ...

A machine learning study of 501 households in flood-affected Noakhali and Feni, Bangladesh, identifies the key predictors of waterborne disease ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent classification accuracy and ...

Researchers have adapted a two-stage sparse regression method called uniLasso to the UK Biobank, producing polygenic risk scores that match ...

A new deep learning framework called MedSegNet-AXU segments multiple sclerosis lesions from 3D MRI with a 98.58 percent Dice score ...

Researchers have developed an unsupervised algorithm that uses topological data analysis to detect functional stages in EEG recordings from meditation ...