6 天前 - … employ two machine learning-based models for the Q u prediction process as … The
current research focuses on creating a comprehensive … 2.6 Performance evaluation methods …

6 天前 - … monitoring and warning, we developed a comprehensive … analysis speed, we
employed classical machine learning … of risk indicators, timely and effective control measures, …

8 天前 - … model presented the best overall performance with an AUC-ROC of 0.79 for predicting
… to identify women at higher risk of inadequate weight gain during pregnancy, enabling …

9 天前 - … risk samples for comprehensive representation learning. … Traffic Transformer [9]
proposes a deep learning model to … the prediction task, which can be captured by our model to …

10 天前 - … in machine learning techniques for landslide prediction, early warning, and risk
assessment… The review highlighted the need for an integrated approach to landslide prevention …

10 天前 - … By examining whether a simplified model can retain or surpass the full BQ predictive
… tool could significantly improve the early detection of individuals at risk for OSA. However, …

10 天前 - … frameworks, ultimately testing over 80 combinations of machine learning classifiers,
… high-risk population. An integrated model showed higher predictive performance and better …

12 天前 - … with crash risk. Results showed that the machine learning models had good predictive
… of occurrence of the N predicted results is taken as the overall prediction. Bagging tree is …

13 天前 - … ”, a deep learning tool for prediction of neointimal tissue … an animal model of
neoatherosclerosis, where an overall accuracy of … patients at risk for stent failure. However, …

13 天前 - … Despite extensive research on AKI's risk factors, predictive models for wasp sting-…
This study aims to develop and validate a machine learning-based clinical prediction model …