IEEE

Loan Approval Prediction through Machine Learning and Visualization: Insights from Gradient Boosting and Power BI

Abstract: This study looks at integration of machine learning (ML) models with business intelligence tools for improved loan approval predictions to enhance better decision-making processes. We use a ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Of the ML models, the XGBoost had the best performance, with an AUC of 0.941 on the training set and an AUC of 0.775 on the internal validation set. The combination of clinical data with machine ...
Frontiers

Machine learning-based classification of seismic events: a case study of seismic events in Jilin Province, NE China

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...
IEEE

Gap-Free Forest Height Mapping Using Multispectral Observations, a Machine Learning Regressor, and Sparse and Limited Calibration Sets

Abstract: The undeniable importance of forests in the sustainability of the planet Earth and its impact on the climate change increases interest in monitoring these ecosystems. Within the parameters ...