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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Abstract
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.
Key words
Zhejiang/People's Republic of China/As ia/Arthritis/Cyborgs/Emerging Technologies/Gout/Gouty Arthritis/Health and Medicine/Inborn Errors Purine-Pyrimidine Metabolism/Joint Diseases and Condit ions/Machine Learning/Musculoskeletal Diseases and Conditions/Nutritional and Metabolic Diseases and Conditions/Rheumatic Diseases and Conditions/Risk and Prevention
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