唾液微生物数据预测肺结节风险：七种机器学习模型比较

Based on the oral microbiome data corresponding to the saliva samples obtained from the above process, seven machine learning models, including logistic regression (LR), naive Bayes (NB), K-nearest neighbors (KNN), gradient boosting decision trees (GBDT), extreme random forest (ET), random forest (RF), and extreme gradient boosting (XGB), are used to predict lung nodule risk.