AIMC Topic: Latent Class Analysis
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Investigating the influence of socioeconomic factors on the relationships between road characteristics and traffic crash frequency and severity-- A hybrid structural equation modelling - artificial neural networks approach.
Accident; analysis and prevention
May 5, 2025
Traffic crashes result from complex interactions between driver, roadway, and environmental factors, which traditional methods often fail to capture. This paper investigates the influence of road, weather, and socioeconomic factors on traffic crashes...
Factors influencing adoption intentions to use AIGC for health information: findings from SEM and fsQCA.
Frontiers in public health
Apr 25, 2025
BACKGROUND: With the rapid advancement of artificial intelligence technologies, AI-generated content (AIGC) was increasingly applied in the health information sector, becoming a vital tool to enhance the efficiency and quality of health information e...
SEM model analysis of diabetic patients' acceptance of artificial intelligence for diabetic retinopathy.
BMC medical informatics and decision making
Apr 24, 2025
AIMS: This study aimed to investigate diabetic patients' acceptance of artificial intelligence (AI) devices for diabetic retinopathy screening and the related influencing factors.
LACE-UP: An ensemble machine-learning method for health subtype classification on multidimensional binary data.
Proceedings of the National Academy of Sciences of the United States of America
Apr 23, 2025
Disease and behavior subtype identification is of significant interest in biomedical research. However, in many settings, subtype discovery is limited by a lack of robust statistical clustering methods appropriate for binary data. Here, we introduce ...
Exploring the acceptance of virtual reality training systems among construction workers: a combined structural equation modeling and artificial neural network approach.
Frontiers in public health
Dec 18, 2024
Virtual Reality Training System (VRTS) has been verified effective in safety training in the construction field. However, in China, it is not widely used as a regular training tool. Among all the reasons, the acceptance level of construction workers ...
Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.
Journal of psychiatric research
Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Area Under Curve
Outcome Assessment, Health Care
Veterans
Outpatients
ROC Curve
United States
Treatment Outcome
Mental Health Services
Patient Health Questionnaire
Young Adult
Adult
Male
Middle Aged
Depression
Latent Class Analysis
Adolescent
Female
Stress Disorders, Post-Traumatic
Reproducibility of Results
Humans
Aged
Machine Learning
Aged, 80 and over
Retrospective Studies
The Impact of Medical Explainable Artificial Intelligence on Nurses' Innovation Behaviour: A Structural Equation Modelling Approach.
Journal of nursing management
Sep 26, 2024
This study aims to investigate the influence of medical explainable artificial intelligence (XAI) on the innovation behaviour of nurses, as well as explore the dual-pathway mediating effect of AI self-efficacy and AI anxiety and organizational ethic...
Identification of four novel acute-on-chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods.
Alimentary pharmacology & therapeutics
Sep 23, 2024
BACKGROUND AND AIMS: Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.
Deep Survival Analysis With Latent Clustering and Contrastive Learning.
IEEE journal of biomedical and health informatics
May 6, 2024
Survival analysis is employed to analyze the time before the event of interest occurs, which is broadly applied in many fields. The existence of censored data with incomplete supervision information about survival outcomes is one key challenge in sur...
Understanding consumers' intentions to purchase smart clothing using PLS-SEM and fsQCA.
PloS one
Sep 19, 2023
With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers' individualized demands in various areas. This paper aims to construct a model...
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