Niranjan S. Karnik

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Natural Language Processing And Machine Learning

Public Libraries

Machine Learning

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Frontiers Digit. Health

Publications

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)
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)
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) (2021)
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) (2020)
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)
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) (2019)
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)