Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients

Abstract Background Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at ensuring perfect PHI removal. As an alterna...

Full description

Bibliographic Details
Main Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Opioid misuse
Heroin
Opioid use disorder
Natural language processing
Machine learning
Computable phenotype
Online Access:http://link.springer.com/article/10.1186/s12911-020-1099-y

Internet

http://link.springer.com/article/10.1186/s12911-020-1099-y

Similar Items