High dimensional data - Open Access .click

Results 191 to 200 of about 1,216,046 (262)

Feature selection algorithm based on optimized genetic algorithm and the application in high-dimensional data processing. [PDF]

PLoS One
Feng G.
europepmc +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source

Predicting dichotomised outcomes from high-dimensional data in biomedicine. [PDF]

J Appl Stat
Rauschenberger A, Glaab E.
europepmc +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source

Multigroup Equivalence Analysis for High-Dimensional Expression Data

Cancer Informatics, 2015
Celeste Yang, Alfred A. Bartolucci, Xiangqin Cui +2 more
doaj

Real‐World Trends in Prenatal Antirheumatic Drug Utilization in Ontario, Canada: A Cross‐Sectional Time‐Series Analysis

Arthritis Care &Research, EarlyView.
Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source

Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data. [PDF]

Biometrics
Li W, Chang C, Kundu S, Long Q.
europepmc +1 more source

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

Arthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. [PDF]

BioData Min
Cantor E +4 more
europepmc +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok +7 more
wiley +1 more source

high-dimensional data
medicine
feature selection

machine learning
artificial intelligence
classification

deep learning
outlier detection