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Accepted for/Published in: JMIR AI

Date Submitted: Aug 12, 2022
Date Accepted: Mar 3, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Bozorgmehr A, Weltermann B

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

JMIR AI 2023;2:e41868

DOI: 10.2196/41868

PMID: 38875576

PMCID: 11041452

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.