BIBLIOGRAPHIC RECORD
Imminent opioid overdose risk prediction using classical and machine learning survival models following first recorded opioid-related diagnosis: a prospective cohort study from the <i>All of Us</i> research program.
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- Recorded authors
- Hafizur Rahman; Golam Sarwar; Smita Rawal; Samantha Clinton; Liyuan Wang; Don Roosan; Nathan B Hansen; Mohammad Rifat Haider
- Source of metadata
- PubMed
- Year recorded
- 2026
Public identifiers and source
Open the source recordReference
Hafizur Rahman; Golam Sarwar; Smita Rawal; Samantha Clinton; Liyuan Wang; Don Roosan; Nathan B Hansen; Mohammad Rifat Haider. (2026). Imminent opioid overdose risk prediction using classical and machine learning survival models following first recorded opioid-related diagnosis: a prospective cohort study from the <i>All of Us</i> research program. https://pubmed.ncbi.nlm.nih.gov/42530347/
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Permanent record URL: https://brain.psiconautica.org/en/documentos/d-95e01b36933d8863b5a5706361041cd3/