Predicting the Risk of Lumbar Prolapsed Disc: A Gene Signature-Based Machine Learning Analysis
Abstract Introduction Lumbar prolapsed disc (LPD) is a leading cause of low back pain, contributing significantly to global disability and healthcare burden. This study aimed to develop machine learning models to predict the risk of LPD by analysing gene expression profiles for early detection. Meth...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Adis, Springer Healthcare
2025-05-01
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| Series: | Pain and Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40122-025-00744-4 |
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