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

Summary by Nature
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 54 patients with CP and 71 healthy controls was randomly separated into training and validation groups, using a 7:3 ratio. Radiomics features were extracted …

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The Marijuana Herald broke the news in on Wednesday, April 2, 2025.
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