Results 111 to 120 of about 86,229 (292)
Computing Frechet derivatives in partial least squares regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +110 more
wiley +1 more source
3D volumetric intensity reconsturction from 2D x-ray images using partial least squares regression
Reconstruction of shape and intensity from 2D x-ray images has drawn more and more attentions. Previously introduced work suffers from the long computing time due to its iterative optimization characteristics and the requirement of generating digitally ...
Zheng, Guoyan, Guoyan Zheng
core +1 more source
Objective This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual ...
Daniel Cury Ribeiro +2 more
wiley +1 more source
Influence properties of partial least squares regression. [PDF]
Regression; Partial least squares; Least-squares; Squares; Squares regression;
Croux, Christophe +2 more
core
Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino +42 more
wiley +1 more source
Alterations in the mechanistic drivers of photosynthesis have the potential to improve crop productivity, but their measurement is inherently time‐consuming using traditional methods.
Ved Parkash +4 more
doaj +1 more source
Partial least-squares regression with unlabeled data
It is well known that the prediction errors from principal component regression (PCR) and partial least-squares regression (PLSR) can be reduced by using both labeled and unlabeled data for stabilizing the latent subspaces in the calibration step.
Bonvin, Dominique +3 more
core
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang +7 more
wiley +1 more source
The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction
Several works concerning the utilization of Partial Least Squares as a supervised dimension reduction technique have been developed over the years in the field of chemometrics, among others, for regression purposes. However, Partial Least Squares can be
Elisavet Beki, Ntotsis Kimon
doaj

