Results 71 to 80 of about 21,533,267 (299)

Longitudinal burnout-collaboration patterns in Japanese medical care workers at special needs schools: a latent class growth analysis

open access: yesPsychology Research and Behavior Management, 2016
Mieko Kanayama,1 Machiko Suzuki,1 Yoshikazu Yuma2 1Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan; 2Department of Human Development Education, Graduate School of Education, Hyogo University of Teacher ...
Kanayama M, Suzuki M, Yuma Y
doaj  

The heterogeneous nutritional status trajectory and its predictors in elderly patients undergoing lung cancer surgery: a prospective cohort study

open access: yesFrontiers in Nutrition
ObjectivesThe assessment and management of nutritional status are particularly important for reducing adverse outcomes in elderly patients undergoing lung cancer surgery.
Shuo Shi   +6 more
doaj   +1 more source

Trajectories of Lipids Profile and Incident Cardiovascular Disease Risk: A Longitudinal Cohort Study

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019
Background The association between low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, and triglycerides with cardiovascular disease (CVD) has been well studied.
Alimu Dayimu   +6 more
doaj   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

open access: yesArthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen   +24 more
wiley   +1 more source

A Small Latent Class in Growth Mixture Modeling: A Simulation Study

open access: yesStructural Equation Modeling: A Multidisciplinary Journal
Growth mixture modeling (GMM) allows researchers to explore heterogeneous growth trajectories across individuals. The unknown subgroup in GMM could be small in the population, but unestablished minimum class size rules (e.g., 1%, 5%, or 10%) may exclude small classes that may require unique representation and support.
Eunsook Kim   +7 more
openaire   +1 more source

Classification posterior probabilities of 7-class latent class analysis model.

open access: yes, 2022
Classification posterior probabilities of 7-class latent class analysis model.
Amber L. Dougherty (12360042)   +5 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

An Alternative Approach to Growth Mixture Model: Performance of Covariance Pattern Mixture Model

open access: yesSAGE Open
This study evaluates the performance of five modeling approaches—unconstrained growth mixture model (GMMU), constrained GMM (GMMC), latent class growth model (LCGM), covariance pattern mixture model (CPMM) with compound symmetry (CPMM-CS), and CPMM with ...
Yerim Lim, JiYoon Kim, Sehee Hong
doaj   +1 more source

Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]

open access: yes, 2009
Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter   +3 more
core   +1 more source

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