AIMC Topic: Unsupervised Machine Learning

Clear Filters Showing 401 to 410 of 797 articles

Application of hierarchical clustering to multi-parametric MR in prostate: Differentiation of tumor and normal tissue with high accuracy.

Magnetic resonance imaging Sep 12, 2020
PURPOSE: Hierarchical clustering (HC), an unsupervised machine learning (ML) technique, was applied to multi-parametric MR (mp-MR) for prostate cancer (PCa). The aim of this study is to demonstrate HC can diagnose PCa in a straightforward interpretab...
Sensitivity and Specificity Male Middle Aged Image Processing, Computer-Assisted Humans Aged Prostate Magnetic Resonance Imaging Cluster Analysis Unsupervised Machine Learning Prostatic Neoplasms
View on PubMed DOI

A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction.

PloS one Sep 11, 2020
BACKGROUND: COVID-19 is a critical pandemic that has affected human communities worldwide, and there is an urgent need to develop effective drugs. Although there are a large number of candidate drug compounds that may be useful for treating COVID-19,...
Antiviral Agents Humans Unsupervised Machine Learning SARS-CoV-2 A549 Cells Drug Discovery Betacoronavirus
View on PubMed DOI

Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals.

PloS one Sep 11, 2020
Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed an Automated Unsupervised Respiratory Event Analysis (AUREA) to classify breathing patterns obtained with dual belt respiratory inductance plethysmography an...
Humans Respiratory Mechanics Female Plethysmography Postoperative Complications Male Apnea Infant Unsupervised Machine Learning Signal Processing, Computer-Assisted
View on PubMed DOI

Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

American journal of human genetics Sep 9, 2020
Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functional impact, and genomic and environmental contexts, HNF1A variants can cause maturity-onset diabetes of the young (MODY), increase type 2 diabetes ris...
Humans Phenotype Female Mutation, Missense United Kingdom Norway Exome Sequencing Cluster Analysis Hepatocyte Nuclear Factor 1-alpha Adolescent Unsupervised Machine Learning Young Adult Gene Expression Child Principal Component Analysis Adult Registries Diabetes Mellitus, Type 2 Male Alleles Genetic Predisposition to Disease Datasets as Topic
View on PubMed DOI

Exploring gene-gene interaction in family-based data with an unsupervised machine learning method: EPISFA.

Genetic epidemiology Sep 1, 2020
Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of complex diseases and the limited genetic proportion explained by identified single-nucleotide polymorphisms. The current tools for exploring G × G were oft...
Humans Family Models, Genetic Epistasis, Genetic Algorithms Unsupervised Machine Learning Linkage Disequilibrium Case-Control Studies Multifactor Dimensionality Reduction Ischemic Stroke Factor Analysis, Statistical
View on PubMed DOI

Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 28, 2020
Exploring techniques that breakthrough the unknown space or material species is of considerable significance to military and civilian fields, and it is a challenging task without any prior information. Nowadays, the use of material-specific spectral ...
Unsupervised Machine Learning Humans Pattern Recognition, Automated Neural Networks, Computer
View on PubMed DOI

Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.

BMC cardiovascular disorders Aug 14, 2020
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to iden...
Diastole Unsupervised Machine Learning Predictive Value of Tests Peptide Fragments Heart Failure Ventricular Dysfunction, Left Natriuretic Peptide, Brain Asymptomatic Diseases Disease Progression Diagnosis, Computer-Assisted Deep Learning Retrospective Studies Cluster Analysis Female Echocardiography Risk Factors Middle Aged Aged Risk Assessment Aged, 80 and over Male Ventricular Function, Left Stroke Volume Humans Biomarkers
View on PubMed DOI

An Epilepsy Detection Method Using Multiview Clustering Algorithm and Deep Features.

Computational and mathematical methods in medicine Aug 1, 2020
The automatic detection of epilepsy is essentially the classification of EEG signals of seizures and nonseizures, and its purpose is to distinguish the different characteristics of seizure brain electrical signals and normal brain electrical signals....
Humans Neural Networks, Computer Algorithms Brain Electroencephalography Diagnosis, Computer-Assisted Epilepsy Deep Learning Seizures Cluster Analysis Signal Processing, Computer-Assisted Unsupervised Machine Learning
View on PubMed DOI

AD risk score for the early phases of disease based on unsupervised machine learning.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jul 30, 2020
INTRODUCTION: Identifying cognitively normal individuals at high risk for progression to symptomatic Alzheimer's disease (AD) is critical for early intervention.
Unsupervised Machine Learning Alzheimer Disease Early Diagnosis Aged Humans Male Middle Aged Female Disease Progression Risk Factors
View on PubMed DOI

Can One Hear the Shape of a Molecule (from its Coulomb Matrix Eigenvalues)?

Journal of chemical information and modeling Jul 29, 2020
Coulomb matrix eigenvalues (CMEs) are global 3D representations of molecular structure, which have been previously used to predict atomization energies, prioritize geometry searches, and interpret rotational spectra. The properties of the CME represe...
Algorithms Unsupervised Machine Learning Molecular Structure Isomerism Molecular Conformation
View on PubMed DOI
Popular Topics
Recent Journals