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The prediction of CHD in gout patients has thus been modeled as a binary classification problem. A total of eight clinical indicators were selected as features for machine learning classifiers. A combined sampling technique was used to overcome the imbalanced problem in the training dataset. Eight machine learning models were used including logistic regression, decision tree, ensemble learning models (random forest, XGBoost, LightGBM, GBDT), support vector machine (SVM) and neural networks. Our results showed that stepwise logistic regression and SVM achieved more excellent AUC values, while the random forest and XGBoost models achieved more excellent performances in terms of recall and accuracy. Furthermore, several high-risk factors were found to be effective indices in predicting CHD in gout patients, which provide insights into the clinical diagnosis.&lt;\/p&gt;&lt;\/abstract&gt;<\/jats:p>","DOI":"10.3934\/mbe.2023212","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T14:49:17Z","timestamp":1672152557000},"page":"4574-4591","source":"Crossref","is-referenced-by-count":9,"title":["Prediction of coronary heart disease in gout patients using machine learning models"],"prefix":"10.3934","volume":"20","author":[{"given":"Lili","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Rheumatology and Clinical Immunology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sirong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Soochow University, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanhui","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Rheumatology and Clinical Immunology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Da","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihua","family":"Duan","sequence":"additional","affiliation":[{"name":"Department of Rheumatology and Clinical Immunology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2321","reference":[{"key":"key-10.3934\/mbe.2023212-1","doi-asserted-by":"publisher","unstructured":"J. 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