Machine learning models for predicting disability and pain following lumbar disc herniation surgery

JAMA Network Open

2024-02-07

(Press-News.org) About The Study: The findings of this study including 22,000 surgical cases suggest that machine learning models can inform about individual prognosis and aid in surgical decision-making to ultimately reduce ineffective and costly spine care.

Authors: Bjørnar Berg, Ph.D., of Oslo Metropolitan University in Oslo, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2023.55024)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.

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Machine learning models for predicting disability and pain following lumbar disc herniation surgery

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