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Cara Joyce
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2020 – today
- 2021
- [c4]Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar:
Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use. AMIA 2021 - [c3]Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar:
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA 2021 - 2020
- [j3]Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar
, Niranjan S. Karnik
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)
2010 – 2019
- 2019
- [j2]Majid Afshar, Andrew Phillips, Niranjan S. Karnik
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) - [j1]Majid Afshar
Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. J. Am. Medical Informatics Assoc. 26(11): 1364-1369 (2019) - [c2]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 - 2018
- [c1]Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach:
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA 2018
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