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ORCIDNiranjan S. Karnik
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Journal Articles
- 2024
[j5]João Guerreiro
, Roger Garriga, Toni Lozano Bagén, Brihat Sharma, Niranjan S. Karnik, Aleksandar Matic:
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. npj Digit. Medicine 7(1) (2024)- 2023
- [j4]Ashley A. Knapp, Emily Hersch, Clarisa Wijaya, Miguel A. Herrera, Kaylee Payne Kruzan, Allison J. Carroll, Sydney Lee, Alex Baker, Alanna Gray, Vann Harris, Robert Simmons, Deepika Kour Sodhi, Nanette Hannah, Madhu C. Reddy, Niranjan S. Karnik, Justin D. Smith, C. Hendricks Brown, David C. Mohr:
"The library is so much more than books": considerations for the design and implementation of teen digital mental health services in public libraries. Frontiers Digit. Health 5 (2023) - 2021
- [j3]Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar:
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. Medical Informatics Assoc. 28(11): 2393-2403 (2021) - 2020
- [j2]Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar:
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. 20(1): 79 (2020) - 2019
- [j1]Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach:
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. J. Am. Medical Informatics Assoc. 26(3): 254-261 (2019)
Conference and Workshop Papers
- 2021
- [c3]Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar:
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA 2021 - 2019
- [c2]Amy L. Olex, Tamás Gál, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller:
Untapped Potential of Clinical Text for Opioid Surveillance. AMIA 2019 - [c1]Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce:
Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA 2019
Coauthor Index
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