Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy

Becker William C.

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Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy

机译：长期阿片类药物治疗患者阿片类药物过量的临床可行预测模型的重要步骤

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来源
《Journal of general internal medicine 》 |2018年第10期| 共2页
作者
Becker William C.;
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作者单位

VA Connecticut Healthcare Syst Pain Res Informat Multimorbid &

Educ PRIME Ctr West Haven CT;

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原文格式 PDF
正文语种 eng
中图分类内科学 ;
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1. Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy [J] . Becker William C. Journal of general internal medicine . 2018 ,第10期

机译：长期阿片类药物治疗患者阿片类药物过量的临床可行预测模型的重要步骤
2. Prescription Opioid Duration of Action and the Risk of Unintentional Overdose Among Patients Receiving Opioid Therapy [J] . Miller Matthew, Barber Catherine W., Leatherman Sarah, JAMA internal medicine . 2015 ,第4期

机译：接受阿片类药物治疗的患者中的处方阿片类药物作用持续时间和无意过量的风险
3. Low pain intensity after opioid withdrawal as a first step of a comprehensive pain rehabilitation program predicts long-term nonuse of opioids in chronic noncancer pain [J] . KrumovaE.K., BennemannP., KindlerD., The clinical journal of pain . 2013 ,第9期

机译：阿片类药物停药后的低疼痛强度是综合性疼痛康复计划的第一步，可预测长期不使用阿片类药物可治疗慢性非癌性疼痛
4. Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning [C] . Sarah McDougall, Priyanka Annapureddy, Praveen Madiraju, IEEE International Conference on Big Data . 2020

机译：预测机器学习的阿片类药物过量再验糖和阿片类药物
5. Can the Implementation of the CDC's Opioid Guidelines by Providers Decrease Opioid Misuse among Patients in 2 Months? A Clinical Scholarly Project [D] . Cunamay, Mariel F. 2020

机译：可以通过提供者实施CDC的阿片类药物指南可降低2个月内患者的阿片类药物滥用吗？临床学术项目
6. Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy [O] . William C. Becker 2018

机译：在长期接受阿片类药物治疗的患者中建立临床可行的阿片类药物过量预测模型的重要步骤
7. Prediction Model for Two-Year Risk of Opioid Overdose Among Patients Prescribed Chronic Opioid Therapy [O] . Jason M. Glanz, Komal J. Narwaney, Shane R. Mueller, 2018

机译：慢性阿片类药物治疗患者患者阿片类药物过量的两年风险预测模型

Important Steps Towards a Clinically Actionable Predictive Model of Opioid Overdose Among Patients on Long-term Opioid Therapy

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