首页|Second Affiliated Hospital Reports Findings in Gout (Interpretable machine learn ing framework to predict gout associated with dietary fiber and triglyceride-glu cose index)
Second Affiliated Hospital Reports Findings in Gout (Interpretable machine learn ing framework to predict gout associated with dietary fiber and triglyceride-glu cose index)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Musculoskeletal Diseas es and Conditions - Gout is the subject of a report. According to news reporting originating in Zhejiang, People's Republic of China, by NewsRx journalists, res earch stated, "Gout prediction is essential for the development of individualize d prevention and treatment plans. Our objective was to develop an efficient and interpretable machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to link dietary fiber and triglyceride-glucose (TyG) index to predict go ut."Financial support for this research came from Wenzhou Basic Scientific Research Project of China.
ZhejiangPeople's Republic of ChinaAs iaArthritisCyborgsEmerging TechnologiesGoutGouty ArthritisHealth and MedicineInborn Errors Purine-Pyrimidine MetabolismJoint Diseases and Condit ionsMachine LearningMusculoskeletal Diseases and ConditionsNutritional and Metabolic Diseases and ConditionsRheumatic Diseases and ConditionsRisk and Prevention
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