An uncertainty-driven gated feature selection network (UGFS-Net) for TG level prediction: linking high-altitude exposure to lipid metabolism disorder via elevated TG

Guoying Li; Ziwen Zhou; Ningning Wang; Nan Yan; Dezhi Sun; Caigui Huang; Lei Zhou; Yue Sun; Wei Zhou; Yue Gao

doi:10.1186/s12944-025-02826-w

Abstract

This study developed UGFS-Net, an interpretable deep learning model that accurately predicts triglyceride levels in high-altitude migrants (R² = 0.8776) and provides well-calibrated uncertainty estimates, with identified key biomarkers offering clinical insights.

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Year: 2025
Type: article
Citations: 0
Access: Closed

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APA Style

                            
                                    Guoying Li, 
                                
                                    Ziwen Zhou, 
                                
                                    Ningning Wang
                                
                                et al.
                            
                            (2025). 
                            An uncertainty-driven gated feature selection network (UGFS-Net) for TG level prediction: linking high-altitude exposure to lipid metabolism disorder via elevated TG. 
                            Lipids in Health and Disease
                            
                            .
                            https://doi.org/10.1186/s12944-025-02826-w

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DOI: 10.1186/s12944-025-02826-w