Identification of texture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models

Identification of texture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models

Abstract To provide objective diagnostic markers for fibromyalgia symptoms (FMS) diagnosis, we have created interpretable extreme gradient boosting (XGBoost) models using radiomics to aid in the diagnosis of chronic pain (CP) and to develop nomogram models for diagnosing subgroups of FMS. A group of...

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Bibliographic Details
Main Authors: Hongyang Jiang, Aihui Liu, Zhenhua Ying
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Fibromyalgia
XGBoost
Radiomics
Chronic pain
MRI
Online Access:https://doi.org/10.1038/s41598-024-74418-0
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https://doi.org/10.1038/s41598-024-74418-0

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