Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models

Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models

Abstract Introduction Low back pain (LBP) is a significant global health burden, with variable treatment outcomes and an unclear underlying molecular mechanism. Effective prediction of treatment responses remains a challenge. In this study, we aimed to develop gene signature-based machine learning m...

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Bibliographic Details
Main Authors: Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan
Format: Article
Language:English
Published: Adis, Springer Healthcare 2024-12-01
Series:Pain and Therapy
Subjects:
Low back pain
Treatment prediction
Gene signature
Machine learning
Transcriptomics
Peripheral immune cells
Online Access:https://doi.org/10.1007/s40122-024-00700-8
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https://doi.org/10.1007/s40122-024-00700-8

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