Karnik, Niranjan S

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

Afshar, M., Phillips, A., Karnik, N., Mueller, J., To, D., Gonzalez, R., Price, R., Cooper, R., Joyce, C., & Dligach, D. (2019) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 94

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups

Thompson, H. M., Sharma, B., Bhalla, S., Boley, R., McCluskey, C., Dligach, D., Churpek, M. M., Karnik, N. S., & Afshar, M. (2021) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 78

Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): A retrospective deep learning study

Afshar, M., Sharma, B., Dligach, D., Oguss, M., Brown, R., Chhabra, N., Thompson, H. M., Markossian, T., Joyce, C., Churpek, M. M., et al. (2022) · The Lancet Digital Health

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 55

Exploring the potential of technology-based mental health services for homeless youth: A qualitative study.

Adkins, E. C., Zalta, A. K., Boley, R. A., Glover, A., Karnik, N. S., & Schueller, S. M. (2017) · Psychological Services

Homelessness and Social IssuesDigital Mental Health Interventions

Cited by 52

Early Life Stress and Childhood Aggression: Mediating and Moderating Effects of Child Callousness and Stress Reactivity

Winiarski, D. A., Engel, M. L., Karnik, N. S., & Brennan, P. A. (2018) · Child Psychiatry & Human Development

Child and Adolescent Psychosocial and Emotional DevelopmentChild Abuse and Trauma

Cited by 23