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A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disord...

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disord...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1f7cdb3c72342ed9a277f87a2bc6225

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

About this item

Full title

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

Publisher

Canada: JMIR Medical Informatics

Journal title

JMIR medical informatics, 2024-06, Vol.12, p.e53625-e53625

Language

English

Formats

Publication information

Publisher

Canada: JMIR Medical Informatics

More information

Scope and Contents

Contents

Despite restrictive opioid management guidelines, opioid use disorder (OUD) remains a major public health concern. Machine learning (ML) offers a promising avenue for identifying and alerting clinicians about OUD, thus supporting better clinical decision-making regarding treatment.
This study aimed to assess the clinical validity of an ML applic...

Alternative Titles

Full title

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f1f7cdb3c72342ed9a277f87a2bc6225

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1f7cdb3c72342ed9a277f87a2bc6225

Other Identifiers

ISSN

2291-9694

E-ISSN

2291-9694

DOI

10.2196/53625

How to access this item