Artificial intelligence-based tool may help diagnose opioid addiction earlier

artificial intelligence
Credit: CC0 Public Domain

Researchers have used machine learning, a type of artificial intelligence, to develop a prediction model for the early diagnosis of opioid use disorder. The advance is described in Pharmacology Research & Perspectives.

The model was generated from information in a commercial claim database from 2006 through 2018 of 10 million medical insurance claims from 550,000 patient records. It relied on data such as demographics, chronic conditions, diagnoses and procedures, and medication prescriptions.

The tool led to a diagnosis of opioid use disorder that was on average 14.4 months earlier than it was diagnosed clinically.

"Opioid use disorder has led a very serious epidemic in the U.S. and many other countries, with devastating rates of morbidity and mortality due to missed and delayed diagnoses. The novel ability of our algorithm to identify affected individuals earlier will likely save lives and ," said senior author Gideon Koren, MD, of Ariel University, in Israel.


Explore further

Opioid use disorder? Electronic health records help pinpoint probable patients

More information: Zvi Segal et al, Development of a machine learning algorithm for early detection of opioid use disorder, Pharmacology Research & Perspectives (2020). DOI: 10.1002/prp2.669
Provided by Wiley
Citation: Artificial intelligence-based tool may help diagnose opioid addiction earlier (2020, November 18) retrieved 4 December 2020 from https://medicalxpress.com/news/2020-11-artificial-intelligence-based-tool-opioid-addiction.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
1 shares

Feedback to editors

User comments