Results 61 to 70 of about 254,793 (285)
Characterizing long-term patterns of weight change in China using latent class trajectory modeling.
PLoS ONE, 2015 BackgroundOver the past three decades, obesity-related diseases have increased tremendously in China, and are now the leading causes of morbidity and mortality.
Lauren Paynter +4 more
doaj +1 more source
Unsupervised feature learning with discriminative encoder
, 2017 In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts.
Dukkipati, Ambedkar, Pandey, Gaurav
core +1 more source
Arthritis Care &Research, Accepted Article.Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Adolescent’s movement behaviors and built environment: a latent class analysis
BMC Public Health, 2021 Background Latent class analysis (LCA) is an alternative and innovative approach to verify the relation of the various combinations of the constructed environment and movement behavior (levels of physical activity, sedentary behavior, and sleep ...
Isabella Toledo Caetano +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Growth Mixture Modeling of Depression Symptoms Following Traumatic Brain Injury
Frontiers in Psychology, 2017 Growth Mixture Modeling (GMM) was used to investigate the longitudinal trajectory of groups (classes) of depression symptoms, and how these groups were predicted by the covariates of age, sex, severity, and length of hospitalization following Traumatic ...
Rapson Gomez +3 more
doaj +1 more source
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders [PDF]
, 2018 We address the problem of causal discovery from data, making use of the recently proposed causal modeling framework of modular structural causal models (mSCM) to handle cycles, latent confounders and non-linearities.
Forré, Patrick, Mooij, Joris M.
core +1 more source
Arthritis Care &Research, EarlyView.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
Lifecourse body mass index trajectories and cardio-metabolic disease risk in Guatemalan adults.
PLoS ONE, 2020 Little is known about body size over the life-course and non-communicable disease risk in low- and middle-income country populations. Our study explored the role of body mass index (BMI) trajectories from infancy through mid-adulthood on cardio-metabolic
Nicole D Ford +5 more
doaj +1 more source
Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
doaj +1 more source