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1. jamanetwork.com › journals › jamanetworkopenMachine-Learning Algorithms for Predicting Opioid Overdose ...

   jamanetwork.com › journals › jamanetworkopen

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   Mar 22, 2019 · The objective of this study was to develop and validate a machine-learning algorithm to predict opioid overdose among Medicare beneficiaries with at least 1 opioid prescription. Based on the prediction score, we stratified beneficiaries into subgroups at similar overdose risk to support clinical decisions and improved targeting of intervention.

   • Author: Wei Hsuan Lo-Ciganic, James L. Huang, Hao H. Zhang, Jeremy C. Weiss, Yonghui Wu, C. Kent Kwoh, Julie...

   • Publish Year: 2019

2. www.ncbi.nlm.nih.gov › pmc › articlesEvaluation of Machine-Learning Algorithms for Predicting ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Mar 22, 2019 · To develop and validate a machine-learning algorithm to predict opioid overdose risk among Medicare beneficiaries with at least 1 opioid prescription.

   • Author: Wei Hsuan Lo-Ciganic, James L. Huang, Hao H. Zhang, Jeremy C. Weiss, Yonghui Wu, C. Kent Kwoh, Julie...
   • DOI: 10.1001/jamanetworkopen.2019.0968

   • Publish Year: 2019
   • Publication: JAMA Netw Open. 2019 Mar; 2(3): e190968.

3. www.thelancet.com › journals › landigBig data and predictive modelling for the opioid crisis ...

   www.thelancet.com › journals › landig

   Apr 5, 2018 · For instance, to predict opioid overdose among Medicare beneficiaries who were dispensed opioids, Lo-Ciganic and colleagues 73 developed five separate models by use of logistic regression, penalised regression, random forest, gradient-boosting machine, and deep neural network approaches. Measures of discrimination performance were highest for ...

   • Author: Chrianna Bharat, Matthew Hickman, Sebastiano Barbieri, Louisa Degenhardt

   • Publish Year: 2021

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5. www.ncbi.nlm.nih.gov › pmc › articlesOpportunities for opioid overdose prediction: building a ...

   www.ncbi.nlm.nih.gov › pmc › articles

   In a prognostic modelling study published in The Lancet Digital Health, Wei-Hsuan Lo-Ciganic and colleagues present the development and validation of a machine-learning algorithm to predict opioid overdose among Medicaid beneficiaries. 3 This study builds on a growing body of work at the intersection of medicine and data science—to which Lo ...

6. pubmed.ncbi.nlm.nih.gov › 30901048Evaluation of Machine-Learning Algorithms for Predicting ...

   pubmed.ncbi.nlm.nih.gov › 30901048

   Mar 1, 2019 · Objective: To develop and validate a machine-learning algorithm to predict opioid overdose risk among Medicare beneficiaries with at least 1 opioid prescription. Design, setting, and participants: A prognostic study was conducted between September 1, 2017, and December 31, 2018.

7. www.ncbi.nlm.nih.gov › pmc › articlesUsing machine learning to predict risk of incident opioid use ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Jul 17, 2020 · To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions.

8. People also ask

   How to predict opioid overdose among Medicare beneficiaries?

   • For instance, to predict opioid overdose among Medicare beneficiaries who were dispensed opioids, Lo-Ciganic and colleagues 73 developed five separate models by use of logistic regression, penalised regression, random forest, gradient-boosting machine, and deep neural network approaches.

   Big data and predictive modelling for the opioid crisis: existing

   www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00058-3/fulltext

   See all results for this question

   Can a machine-learning algorithm predict opioid overdose risk?

   • Our overall hypothesis was that a machine-learning algorithm would perform better in predicting opioid overdose risk compared with traditional statistical approaches. The objective of this study was to develop and validate a machine-learning algorithm to predict opioid overdose among Medicare beneficiaries with at least 1 opioid prescription.

   Machine-Learning Algorithms for Predicting Opioid Overdose

   jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625

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   Can machine learning predict opioid overdose among Medicare beneficiaries?

   • In the Original Investigation titled “Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose among Medicare Beneficiaries with Opioid Prescriptions”, published March 22, 2019, there were minor errors in the texts, Table 1, Figure 2, and Supplement. We identified these errors when duplicating the analyses for a separate project.

   Machine-Learning Algorithms for Predicting Opioid Overdose

   jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625

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   Can predictive analytics reduce overdose among people with opioid use disorder?

   • We consider opportunities for predictive analytics and routinely collected administrative data to evaluate how overdose could be reduced among people with opioid use disorder.

   Big data and predictive modelling for the opioid crisis: existing

   www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00058-3/fulltext

   See all results for this question

   What factors predict opioid overdose risk?

   • For example, receipt of a high-dose opioid is a well-known overdose risk factor, but the complex interactions between opioid dose, substance use disorders, mental health, emergency department visits, prescriber characteristics, and socioeconomic variables may yield greater predictive power than one factor alone.

   Machine-Learning Algorithms for Predicting Opioid Overdose

   jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625

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   Can an algorithm prevent opioid overdose among the elderly?

   • I do not doubt the sincerity of the authors in trying to prevent opioid overdose among the elderly, but I find it to be quite a stretch to tacitly suggest that overdose is due to medical mismanagement, and therefore can be prevented by an algorithm's alert.

   Machine-Learning Algorithms for Predicting Opioid Overdose

   jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625

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9. www.sciencedirect.com › science › articleMachine learning for predicting opioid use disorder from ...

   www.sciencedirect.com › science › article

   Jun 1, 2023 · Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: a prognostic study