ArticleScientific reports2025
Machine learning in the prediction of human wellbeing.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Using Machine Learning to Analyze the Predictors of Life Satisfaction: Focus on Lifestyle Attitudes and Psychological Factors.International journal of methods in psychiatric research · 2026Article
- Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design.JMIR mental health · 2026Article
- Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review.PsyCh journal · 2026Article
- A study on the factors influencing university students' subjective well-being based on machine learning methods.BMC psychology · 2026Article
- HybridSense-LLM: A Structured Multimodal Framework for Large-Language-Model-Based Wellness Prediction from Wearable Sensors with Contextual Self-Reports.Bioengineering (Basel, Switzerland) · 2026Article
- Predictors of emotional well-being in university professors using Machine Learning.F1000Research · 2026Article
- Predicting wellbeing in empty-nesters: an ensemble machine learning approach with data-driven feature selection.Frontiers in psychology · 2026Article
- Psychological distress, digital behavioral risks, and physical activity as predictors of subjective wellbeing: a machine learning study in a large sample of community-dwelling adults.Frontiers in behavioral neuroscience · 2026Article
- Income, psychological security, and subjective well-being in urban China: a machine learning analysis with SHAP interpretation.BMC psychology · 2025Article
- Prediction of Children's Subjective Well-Being from Physical Activity and Sports Participation Using Machine Learning Techniques: Evidence from a Multinational Study.Children (Basel, Switzerland) · 2025Article
- Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis.Journal of medical Internet research · 2025Article
- PERMA-guided multi-topology graph neural networks for cross-cultural student well-being prediction.PloS one · 2025Article
- Assessing the influence of landscape conservation and protected areas on social wellbeing using random forest machine learning.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here use tree-based Machine Learning (ML) algorithms to provide a better understanding of respondents' self-reported wellbeing. We analyse representative samples of more than one million respondents from Germany, the UK, and the United States, using data from 2010 to 2018. We make three contributions. First, we show that ML algorithms can indeed yield better predictive performance than standard approaches, and establish an upper bound on the predictability of wellbeing scores with survey data. Second, we use ML to identify the key drivers of evaluative wellbeing. We show that the variables emphasised in the earlier intuition- and theory-based literature also appear in ML analyses. Third, we illustrate how ML can be used to make a judgement about functional forms, including the existence of satiation points in the effects of income and the U-shaped relationship between age and wellbeing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.