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Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors
BackgroundSedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable...
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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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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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Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques
BackgroundThis study used machine learning techniques to evaluate cardiovascular disease risk factors (CVD) and the relationship between sex and...
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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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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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Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data
BackgroundLongitudinal studies are important to understand patterns of growth in children and limited in India. It is important to identify an...
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Functional principal component analysis and sparse-group LASSO to identify associations between biomarker trajectories and mortality among hospitalized SARS-CoV-2 infected individuals
BackgroundA substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)...
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Multidimensional school features associated with physical activity among youth at risk of obesity: an exploratory principal component and generalized estimating equation analysis
BackgroundSchools may be high-leverage points for the promotion of physical activity (PA), yet little is known about school built and social...
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Age estimation from iliac auricular surface using Bayesian inference and principal component analysis: a CT-based study in an Indian population
Age estimation constitutes one of the pillars of human identification. The auricular surface of the ilium presents as a durable and robust structure...
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Computed tomographic evaluation of the acetabulum for age estimation in an Indian population using principal component analysis and regression models
The acetabulum presents as a well-preserved evidence, resistant to taphonomic degradation changes and can thus aid in the age estimation process. A...
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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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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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Evaluation of Internet-based pharmaceutical care effect on young and middle-aged patients with hypertension by the principal component analysis and the Markov cohort during COVID-19 pandemic
BackgroundPharmaceutical care has the potential to improve hypertension control rates in young and middle-aged patients. Due the COVID-19 epidemic,...
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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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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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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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Affective symptom dimensions in early-onset psychosis over time: a principal component factor analysis of the Young Mania Rating Scale and the Hamilton Depression Rating Scale
Early-onset psychosis (EOP) is a complex disorder characterized by a wide range of symptoms, including affective symptoms. Our aim was to (1) examine...
