AIMC Topic: Latent Class Analysis

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Reorienting Latent Variable Modeling for Supervised Learning.

Multivariate behavioral research May 25, 2023
Despite its potentials benefits, using prediction targets generated based on latent variable (LV) modeling is not a common practice in supervised learning, a dominating framework for developing prediction models. In supervised learning, it is typical...
Latent Class Analysis Supervised Machine Learning
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Exploring COVID-19-Related Stressors: Topic Modeling Study.

Journal of medical Internet research Jul 13, 2022
BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems. To provide high-quality...
Humans Pandemics COVID-19 SARS-CoV-2 United States Social Media Natural Language Processing Mental Health Prevalence Latent Class Analysis Stress, Psychological
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Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

International journal of environmental research and public health Jul 8, 2022
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2...
Public Opinion Health Education Federal Government Sentiment Analysis Public Health Humans China Pandemics Latent Class Analysis COVID-19 COVID-19 Vaccines SARS-CoV-2 Emotions Social Media Internationality Attitude
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Determining the factors of m-wallets adoption. A twofold SEM-ANN approach.

PloS one Jan 28, 2022
M-wallets are comparatively more advantageous and convenient than conventional payment systems as m-wallets allow users to avoid cash. The present research uses the diffusion of innovation theory as the base theory to propose a research model by inco...
Neural Networks, Computer Latent Class Analysis Models, Theoretical Marketing
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Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one Sep 24, 2021
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...
Humans Machine Learning Forecasting Female Young Adult Adult Male Hospitals, Public Patient Satisfaction Rural Population Middle Aged Bangladesh Models, Statistical Surveys and Questionnaires Patient Acceptance of Health Care Personal Satisfaction Latent Class Analysis Rural Health Services Telemedicine Adolescent
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The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis.

PloS one Mar 8, 2021
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, partic...
Developing Countries Intention Internet of Things Marketing Latent Class Analysis Malaysia Models, Statistical Least-Squares Analysis Neural Networks, Computer Trust Deep Learning Humans
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Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.

Journal of medical Internet research Feb 23, 2021
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians...
Middle Aged China Surveys and Questionnaires Latent Class Analysis Aged, 80 and over Young Adult Adult Male Diagnosis Patient Preference Choice Behavior Diagnostic Techniques and Procedures Adolescent Time Factors Logistic Models Health Expenditures Humans Artificial Intelligence Pandemics COVID-19 Physicians Female SARS-CoV-2 Aged
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Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.

Medical & biological engineering & computing Jun 21, 2020
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the diagnosis and treatment, such as guiding biopsy procedure and radiation therapy. Nonetheless, automatic segmentation is challenging due to the lack of clear p...
Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Magnetic Resonance Imaging Models, Statistical Prostatic Neoplasms Databases, Factual Humans Male Neural Networks, Computer Deep Learning Algorithms Latent Class Analysis
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Prediction of the Influential Factors on Eating Behaviors: A Hybrid Model of Structural Equation Modelling-Artificial Neural Networks.

TheScientificWorldJournal May 18, 2020
The importance of eating behavior risk factors in the primary prevention of obesity has been established. Researchers mostly use the linear model to determine associations among these risk factors. However, in reality, the presence of nonlinearity am...
Latent Class Analysis Humans Feeding Behavior Neural Networks, Computer Machine Learning Algorithms
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Identifying the presence and timing of discrete mood states prior to therapy.

Behaviour research and therapy Feb 27, 2020
The present study tested a novel, person-specific method for identifying discrete mood profiles from time-series data, and examined the degree to which these profiles could be predicted by lagged mood and anxiety variables and time-based variables, i...
Affect Female Anhedonia Irritable Mood Depression Young Adult Middle Aged Humans Fear Adult Latent Class Analysis Machine Learning Hope Depressive Disorder, Major Male Anxiety Anger Time Factors Anxiety Disorders Biological Variation, Individual Avoidance Learning Psychotherapy Rumination, Cognitive
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