Niranjan Karnik to Electronic Health Records
This is a "connection" page, showing publications Niranjan Karnik has written about Electronic Health Records.
Connection Strength
1.985
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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.
Score: 0.629
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Subtypes in patients with opioid misuse: A prognostic enrichment strategy using electronic health record data in hospitalized patients. PLoS One. 2019; 14(7):e0219717.
Score: 0.616
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Implementation of Gender Identity and Assigned Sex at Birth Data Collection in Electronic Health Records: Where Are We Now? Int J Environ Res Public Health. 2021 06 19; 18(12).
Score: 0.176
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External validation of an opioid misuse machine learning classifier in hospitalized adult patients. Addict Sci Clin Pract. 2021 03 17; 16(1):19.
Score: 0.173
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Validation of an alcohol misuse classifier in hospitalized patients. Alcohol. 2020 05; 84:49-55.
Score: 0.156
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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. J Am Med Inform Assoc. 2019 03 01; 26(3):254-261.
Score: 0.150
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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.
Score: 0.045
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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.
Score: 0.041