An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals-Reference-Cited by-同舟云学术

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An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals

Published:2024-07 Issue: Volume:177 Page:108493
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Al Faysal Jabed,Noor-E-Alam Md.^ORCID,Young Gary J.,Lo-Ciganic Wei-Hsuan,Goodin Amie J.^ORCID,Huang James L.,Wilson Debbie L.^ORCID,Park Tae Woo,Hasan Md Mahmudul^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. Medications to Treat Opioid Use Disorder Research Report,2023

2. Acute administration of buprenorphine in humans: partial agonist and blockade effects;Walsh;J. Pharmacol. Exp. Therapeut.,1995

3. From morphine clinics to buprenorphine: regulating opioid agonist treatment of addiction in the United States;Jaffe;Drug Alcohol Depend.,2003

4. Buprenorphine deregulation and mainstreaming treatment for opioid use disorder: X the X waiver;Fiscella;JAMA Psychiatr.,2019

5. Long-term outcomes of office-based buprenorphine/naloxone maintenance therapy;Parran;Drug Alcohol Depend.,2010

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