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

