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Connection

Niranjan Karnik to Opioid-Related Disorders

This is a "connection" page, showing publications Niranjan Karnik has written about Opioid-Related Disorders.
Connection Strength

5.270
  1. Building a statewide network of MOUD expertise using tiered ECHO? mentoring opportunities. Drug Alcohol Depend. 2023 04 01; 245:109823.
    View in: PubMed
    Score: 0.774
  2. Response to Kelley & Incze: there is certainly more work to do for the OUD-COS. Addiction. 2023 01; 118(1):196.
    View in: PubMed
    Score: 0.756
  3. The opioid use disorder core outcomes set (OUD-COS) for treatment research: findings from a Delphi consensus study. Addiction. 2022 09; 117(9):2438-2447.
    View in: PubMed
    Score: 0.730
  4. Expanding Access to Medications for Opioid Use Disorder Treatment Through Incentivized Continuing Education. J Contin Educ Health Prof. 2022 01 01; 42(1):e102-e105.
    View in: PubMed
    Score: 0.714
  5. External validation of an opioid misuse machine learning classifier in hospitalized adult patients. Addict Sci Clin Pract. 2021 03 17; 16(1):19.
    View in: PubMed
    Score: 0.676
  6. Core outcomes set for research on the treatment of opioid use disorder (COS-OUD): the National Institute on Drug Abuse Clinical Trials Network protocol for an e-Delphi consensus study. Trials. 2021 Jan 28; 22(1):102.
    View in: PubMed
    Score: 0.670
  7. The Substance Use Intervention Team: A Preliminary Analysis of a Population-level Strategy to Address the Opioid Crisis at an Academic Health Center. J Addict Med. 2019 Nov/Dec; 13(6):460-463.
    View in: PubMed
    Score: 0.615
  8. Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. J Am Med Inform Assoc. 2021 10 12; 28(11):2393-2403.
    View in: PubMed
    Score: 0.176
  9. Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Med Inform Decis Mak. 2020 04 29; 20(1):79.
    View in: PubMed
    Score: 0.159
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.