Research on Metabolic Syndrome Reported by Researchers at Zhongkai University of Agriculture and Engineering (Metabolic syndrome prediction model using Bayesian optimization and XGBoost based on traditional Chinese medicine features).

Researchers at Zhongkai University of Agriculture and Engineering in Guangzhou, China have developed a user-friendly and accurate method for predicting metabolic syndrome (MetS) using traditional Chinese medicine (TCM) features and machine learning algorithms. The researchers used electronic medical record data from 2040 patients to create a predictive diagnostic model for MetS. The model achieved high values for various metrics, outperforming other tested machine learning models. The researchers also developed an intelligent prediction application for MetS based on the model, allowing ordinary users to perform self-diagnosis through a web-based questionnaire. [Extracted from the article]