首页|Hangzhou Medical College Reports Findings in Fibromyalgia (Identification of tex ture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models)

Hangzhou Medical College Reports Findings in Fibromyalgia (Identification of tex ture MRI brain abnormalities on Fibromyalgia syndrome using interpretable machine learning models)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Musculoskeletal Diseases and Conditions - Fibromyalgia is the subject of a report. According to news originating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “To provide objective diagnostic markers for fibromyalgia symptoms (FMS) diagnosis, we have created interpretable extreme gradient boosting (XG Boost) models using radiomics to aid in the diagnosis of chronic pain (CP) and t o develop nomogram models for diagnosing subgroups of FMS. A group of 54 patient s with CP and 71 healthy controls was randomly separated into training and valid ation groups, using a 7:3 ratio.”

ZhejiangPeople’s Republic of ChinaAsiaCyborgsDiagnostics and ScreeningEmerging TechnologiesFibromyalgiaHealth and MedicineMachine LearningMuscular Diseases and ConditionsMusculoskeletal Diseases and ConditionsNeuromuscular Diseases and ConditionsRheumatic Diseases and Conditions

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.23)