Importance in predicting opioid-involved mortality by socioecological factor category.

<p>Importance in predicting opioid-involved mortality by socioecological factor category.</p>

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Bibliographic Details
Main Author:	Joshua C. Black (15101555) (author)
Other Authors:	Annika M. Czizik (21807536) (author)
Published:	2025
Subjects:	Genetics Biotechnology Developmental Biology Science Policy Computational Biology Biological Sciences not elsewhere classified specific drugs listed machine learning model level predictors accounted broader environmental factors xlink "> rather xlink "> 429 involved mortality compared community factors cumulatively community factors accounted including hospital records hospital encounters progressed drug involved mortality predicting fatal opioid drug related individual drug related factors xlink "> involved mortality community factors related encounters related factors hospital factors individual drug involved deaths hospital encounter risk factors interconnected factors reducing drug predicting opioid united states study demonstrated strongly influential socioecological domains societal data quantitative evaluation preventing opioid potent opioid opioid misuse opioid crisis mean age holistic approach health may different domains death records considering societal complex issue among deaths 005 patients
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