AIMC Topic: Health Status
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Using Artificial Intelligence to assess the impact of social, physical, and financial health and personality on subjective well-being in a representative, multinational sample of older European and Israeli adults.
Journal of global health
Jun 27, 2025
BACKGROUND: Subjective well-being (SWB) is an important outcome influenced by other aspects of health and personality. However, we know little about the independent effects of multiple health and personality dimensions on SWB in large, representative...
Relative importance of key life domains in explaining life satisfaction among older adults.
Journal of psychosomatic research
Jun 24, 2025
OBJECTIVE: Life satisfaction is a key element contributing to successful aging. Limited empirical studies have specifically explored the nature of the relationship between domain-specific satisfaction and global life satisfaction among older adults. ...
Artificial intelligence and the wellbeing of workers.
Scientific reports
Jun 23, 2025
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and...
Undesired nexus poor health status of child under-five: A case study of Pakistan.
PloS one
May 30, 2025
Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, child mortality remains a serious problem despite efforts to reduce it. One factor that may be associa...
Heterogeneous associations between early-life religious upbringing and late-life health: Evidence from a machine learning approach.
Social science & medicine (1982)
May 16, 2025
Religious upbringing was common in Europe during the childhood of older adults today. However, studies are still lacking on how early-life religious upbringing is associated with adult health and how this association differs in different population s...
Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.
The European journal of health economics : HEPAC : health economics in prevention and care
Feb 21, 2025
BACKGROUND AND OBJECTIVES: The aims of this study were to provide population norms for EQ-5D-5L in Hungary and investigate the differences in EQ-5D-5L normative data by survey mode, i.e. online surveys and computer assisted personal interviews (CAPI)...
Exploring the importance of clinical and sociodemographic factors on self-rated health in midlife: A cross-sectional study using machine learning.
International journal of medical informatics
Feb 10, 2025
BACKGROUND: Self-rated health (SRH) is influenced by various factors, including clinical and sociodemographic characteristics. However, in the context of Brazil, we still lack a clear understanding of the relative importance of these factors and how ...
Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.
International journal of medical informatics
Jan 23, 2025
BACKGROUND: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and vali...
The role of psychological factors in predicting self-rated health: implications from machine learning models.
Psychology, health & medicine
Jan 8, 2025
Self-rated health (SRH) is a significant predictor of future health outcomes. Despite the contribution of psychological factors in individuals' subjective health assessments, prior studies of machine learning-based prediction models primarily focused...
How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method.
Frontiers in public health
Jan 3, 2025
Existing studies have established a linear relationship between urban environments and adolescent health, but the combined impacts of subjective and objective environments on multi-dimensional health status (including physical and mental health) have...
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