This paper is in the following e-collection/theme issue:

Foundations of AI (57) Artificial Intelligence (2140)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41868, first published .
Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data

Authors of this article:

Arezoo Bozorgmehr1 Author Orcid Image ;   Birgitta Weltermann1 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Abd Al-Alim M, Mubarak R, M. Salem N, Sadek I. A machine-learning approach for stress detection using wearable sensors in free-living environments. Computers in Biology and Medicine 2024;179:108918 View
  2. Mikołajewski D, Piszcz A, Rojek I, Galas K. Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees. Electronics 2024;13(22):4489 View
  3. Abbas Q, Jeong W, Lee S. Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges. Healthcare 2025;13(17):2154 View
  4. Yang C, Wei S, Li J, Liu C. Physiologically Explainable Ensemble Framework for Stress Classification via Respiratory Signals. Technologies 2025;13(9):411 View
  5. Wang X, Lin S, Chen B, Zhang H. AI-driven mixed-methods analysis of technology dependence: Personality-moderated pathways to Oral English anxiety in language learning. Acta Psychologica 2025;260:105670 View
  6. Jin Y, Xu S, Liu F, Li J, Du J, Zheng Q, Bu Y, Wang Y. The cumulative effect of childhood trauma and school bullying on non-suicidal self-injury among young adults: An XGBoost model and network analysis. Child Abuse & Neglect 2026;171:107790 View

Conference Proceedings

  1. Sriramulugari S, Gorantla V, Mewada A, Gupta K, Kiruthiga T. 2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC). The opinion based analysis for stressed adults using sentimental mining model View
  2. Sakanti M, Siniaev V, Amaris A, Luo W, Suhartono , Kuncoro C. 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). Psychological Stress Classification Using Extreme Gradient Boosting Algorithm View
  3. Naga Pawan Y, Kalime S, Kandimalla P, Thirupathi V, Rao A, Sravanthi J. 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC). Multi-Scale Temporal Feature Learning for Stress State Prediction using CNN-LSTM on WESAD Physiological Signals View