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

Foundations of AI (57) Artificial Intelligence (1996)

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 (6) 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

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