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Published in 2019 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2019.0968
Abstract: Key Points Question Can machine-learning approaches predict opioid overdose risk among fee-for-service Medicare beneficiaries? Findings In this prognostic study of the administrative claims data of 560 057 Medicare beneficiaries, the deep neural network and gradient boosting…
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Keywords:
machine;
risk;
machine learning;
opioid overdose ... See more keywords
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Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.13977
Abstract: This cohort study investigates the association of an overdose risk score with postoperative complications and health care use after total knee arthroplasty.
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Keywords:
health care;
complications health;
risk score;
postoperative complications ... See more keywords
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Published in 2019 at "Journal of General Internal Medicine"
DOI: 10.1007/s11606-019-05423-7
Abstract: Background Prescribing naloxone to patients is a key strategy to prevent opioid overdoses, but little is known about the reach of naloxone prescribing. Objective Determine patient factors associated with receiving naloxone and trends over time…
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Keywords:
risk;
opioid overdose;
risk factors;
overdose risk ... See more keywords
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Published in 2022 at "Addiction"
DOI: 10.1111/add.15878
Abstract: BACKGROUND AND AIMS The time lag encountered when accessing health care data is one major barrier to implementing opioid overdose prediction measures in practice. Little is known regarding how one's opioid overdose risk changes over…
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Keywords:
time;
overdose risk;
opioid overdose;
group ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0179054
Abstract: Objective To identify meaningful classes of opioid-using military veterans in terms of self-reported opioid overdose risk behaviors. Method The study recruited a sample of 218 military veterans in the NYC area who were discharged from…
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Keywords:
risk;
use;
risk behaviors;
opioid overdose ... See more keywords