U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014) [PDF]
Background Suboptimal rest-activity patterns in adolescence are associated with worse health outcomes in adulthood. Understanding sociodemographic factors associated with rest-activity rhythms may help identify subgroups who may benefit from ...
Chris Ho Ching Yeung +4 more
doaj +2 more sources
Longitudinal Viral Load Clustering for People With HIV Using Functional Principal Component Analysis [PDF]
Discussion: The findings highlight the impact of continuous clustering in understanding the distinct viral profiles of PWH and emphasize the importance of tailored treatment and insights to target interventions for all PWH.
Yunqing Ma +5 more
doaj +2 more sources
Trajectory modeling of gestational weight: A functional principal component analysis approach. [PDF]
Suboptimal gestational weight gain (GWG), which is linked to increased risk of adverse outcomes for a pregnant woman and her infant, is prevalent. In the study of a large cohort of Canadian pregnant women, our goals are to estimate the individual weight ...
Menglu Che +3 more
doaj +2 more sources
Functional principal component analysis for identifying the child growth pattern using longitudinal birth cohort data [PDF]
Background Longitudinal studies are important to understand patterns of growth in children and limited in India. It is important to identify an approach for characterising growth trajectories to distinguish between children who have healthy growth and ...
Reka Karuppusami +2 more
doaj +2 more sources
Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis [PDF]
Background The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being.
Qian Xiao +5 more
doaj +2 more sources
Functional principal component analysis and sparse-group LASSO to identify associations between biomarker trajectories and mortality among hospitalized SARS-CoV-2 infected individuals [PDF]
Background A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe SARS-CoV-2 outcomes, including ...
Tingyi Cao +2 more
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Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis. [PDF]
Due to the advancement in sensor technology, the growing large medical image data have the ability to visualize the anatomical changes in biological tissues. As a consequence, the medical images have the potential to enhance the diagnosis of disease, the
Nan Lin +3 more
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Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors [PDF]
Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture.
Rong W. Zablocki +10 more
doaj +2 more sources
Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis. [PDF]
Characterization of distinct histone methylation and acetylation binding patterns in promoters and prediction of novel regulatory regions remains an important area of genomic research, as it is hypothesized that distinct chromatin signatures may specify ...
Mijeong Kim, Shili Lin
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Lower-limb surface electromyographic differences in roundhouse kicks between elite and sub-elite taekwondo athletes: a functional principal component analysis [PDF]
PurposeThis study aimed to investigate the functional characteristics and distinctions in lower-limb electromyography (EMG) time-series data during roundhouse kicks performed by elite (n = 10) and sub-elite (n = 10) Taekwondo athletes, using Functional ...
Jianbo Sun +4 more
doaj +2 more sources

