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Social determinants of health to predict health-related quality of life in diabetes patients: explainable machine learning approaches | Synapse
March 3, 2026
Social determinants of health to predict health-related quality of life in diabetes patients: explainable machine learning approaches
YW
Yao-Chin Wang
MI
Md. Mohaimenul Islam
University at Buffalo, State University of New York
AO
Arinze Nkemdirim Okere
University at Buffalo, State University of New York
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Puntos clave
The analysis reveals social determinants significantly impact health-related quality of life for diabetes patients.
Key metrics include improved predictive accuracy with machine learning techniques, which can enhance patient support.
Analysis utilizes explainable machine learning approaches to understand important predictors, including socioeconomic factors.
Suggestions for personalized healthcare may improve management strategies based on identified social determinants.
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Cite This Study
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Wang et al. (Mon,) studied this question.
synapsesocial.com/papers/69a765f9badf0bb9e87db1d6
https://doi.org/https://doi.org/10.1007/s12020-025-04514-2