In this paper, a lightweight VNA detection model named ML-LGBM is proposed. The work on the ML-LGBM model includes the development of a large VNA dataset, a feature extraction method, an LGBM ...

In total, the study utilized six ML and four DL algorithms for model development. Notably, the light gradient boosting machine (LGBM) model outperformed others. As a result, the LGBM model was ...

Figure 1 Flowchart of patient selection and machine learning model development process. LR, logistic regression; LGBM, light gradient boosting machine; CatBoost, categorical boosting; MLP, multilayer ...

Moreover, we compared the prediction performance of LIPS and seven machine learning models, including logistic regression (LR), random forest (RF), decision tree (DT), gradient boosting decision tree ...