Publicly available machine learning models for identifying opioid misuse from the clinical notes of...
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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 alternative to relying on de-identification systems, we propose the following...
Alternative Titles
Full title
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9818817fb4af40c2a3192d093fa69557
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9818817fb4af40c2a3192d093fa69557
Other Identifiers
ISSN
1472-6947
E-ISSN
1472-6947
DOI
10.1186/s12911-020-1099-y
