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Principal component analysis of texture features derived from FDG PET images of melanoma lesions
BackgroundThe clinical utility of radiomics is hampered by a high correlation between the large number of features analysed which may result in the...
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Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD
BackgroundParameters from maximal expiratory flow-volume curves (MEFVC) have been linked to CT-based parameters of COPD. However, the association...
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Principal component analysis of adipose tissue gene expression of lipogenic and adipogenic factors in obesity
ObjectiveA better understanding of mechanisms regulating lipogenesis and adipogenesis is needed to overcome the obesity pandemic. We aimed to study...
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Kernel principal components based cascade forest towards disease identification with human microbiota
BackgroundNumerous pieces of clinical evidence have shown that many phenotypic traits of human disease are related to their gut microbiome, i.e.,...
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U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014)
BackgroundSuboptimal rest-activity patterns in adolescence are associated with worse health outcomes in adulthood. Understanding sociodemographic...
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A Principal Component Analysis Approach to Estimate the Disability Status for Patients with Multiple Sclerosis Using Japanese Claims Data
IntroductionClaims databases are preferred for research on multiple sclerosis (MS) as this condition is characterized by low prevalence and long...
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A principal components analysis of factors associated with successful implementation of an LVAD decision support tool
BackgroundA central goal among researchers and policy makers seeking to implement clinical interventions is to identify key facilitators and barriers...
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Alzheimer’s disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA
Background2-Deoxy-2-[ 18 F]fluoroglucose (FDG) PET is an important tool for the identification of Alzheimer’s disease (AD) patients through the...
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Principal component analysis of texture features for grading of meningioma: not effective from the peritumoral area but effective from the tumor area
PurposeTo investigate whether texture features from tumor and peritumoral areas based on sequence combinations can differentiate between low- and...
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The influence of diabetes and age-related degeneration on body balance control during static standing: a study based on plantar center-of-pressure trajectories and principal component analysis
BackgroundAging and diabetes can impair the balance function of the elderly and diabetic patients and increase their fall risk. This study aimed to...
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Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach
BackgroundIntensive longitudinal data (ILD) collected in near real time by mobile health devices provide a new opportunity for monitoring chronic...
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Correlation of [18F]florbetaben textural features and age of onset of Alzheimer’s disease: a principal components analysis approach
BackgroundWhen Alzheimer’s disease (AD) is occurring at an early onset before 65 years old, its clinical course is generally more aggressive than in...
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Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis
BackgroundThe 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to...
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Archetype analysis and the PHATE algorithm as methods to describe and visualize pregnant women’s levels of physical activity knowledge
The knowledge of physical activity (PA) recommended for pregnant women and practical application of it has positive impact on the outcome....
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Barriers to accessing health care among undocumented migrants in Sweden - a principal component analysis
BackgroundUndocumented migrants face many hardships in their everyday life such as poor living conditions, discrimination, and lack of access to...
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Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA)
BackgroundIdentifying hidden patterns and relationships among the features of the Fatal Pedestrian Road Traffic Injuries (FPRTI) can be effective in...
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Distinctly altered lipid components in hepatocellular carcinoma relate to impaired T cell-dependent antitumor immunity
Background and aimsT cells are master effectors of anti-tumor immunity in cancer. Recent studies suggest that altered lipid metabolism imposed by the...
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Anti-prostate cancer mechanism of black ginseng during the "nine steaming and nine sun-drying" process based on HPLC analysis combined with vector space network pharmacology
HPLC analysis determined six small-molecule organic acids, maltol, 5-hydroxymethylfurfural (5-HMF), 17 ginsenosides, four oligosaccharides, and 20...
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Global and regional quality of care index for prostate cancer: an analysis from the Global Burden of Disease study 1990–2019
BackgroundProstate cancer (PCa) is one of the most prevalent cancers worldwide, with a significant burden on societies and healthcare providers. We...
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Interprofessional collaboration and patient-reported outcomes: a secondary data analysis based on large scale survey data
BackgroundWhile interprofessional collaboration (IPC) is widely considered a key element of comprehensive patient treatment, evidence focusing on its...