Botian Song
Biographic Data
| ID | 7752374 |
|---|---|
| NAME | Botian Song |
| GIVEN NAMES | Botian |
| FAMILY NAME | Song |
| SIGNATURE | SONG B |
| AFFILIATIONS | Wenzhou Medical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods
Our findings indicate that MQI is an independent and reliable predictor of TD in males. The interpretable LGBM model provides a cost-effective and clinically applicable tool for early TD risk assessment. These results underscore the importance of muscle quality in testosterone regulation and may inform preventive strategies to mitigate TD risk in adult males
Predicting grip strength-related frailty in middle-aged and older Chinese adults using interpretable machine learning models
Introduction: Frailty is an emerging global health burden, and there is no consensus on the precise prediction of frailty. We aimed to explore the association between grip strength and frailty and interpret the optimal machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to predict the risk of frailty. Methods: Data for the study were extracted from the China Health and Retirement Longitudinal Study (CHARLS) database. Socio-d…
No prominent works on this page.
Predicting grip strength-related frailty in middle-aged and older Chinese adults using interpretable machine learning models
Introduction: Frailty is an emerging global health burden, and there is no consensus on the precise prediction of frailty. We aimed to explore the association between grip strength and frailty and interpret the optimal machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to predict the risk of frailty. Methods: Data for the study were extracted from the China Health and Retirement Longitudinal Study (CHARLS) database. Socio-d…
Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods
Our findings indicate that MQI is an independent and reliable predictor of TD in males. The interpretable LGBM model provides a cost-effective and clinically applicable tool for early TD risk assessment. These results underscore the importance of muscle quality in testosterone regulation and may inform preventive strategies to mitigate TD risk in adult males
Gerontology (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Biostatistics (1 work) · Chronic Disease Management Strategies (1 work) · Cohort (1 work) · Cohort study (1 work) · Epidemiology (1 work) · Frailty in Older Adults (1 work) · Grip strength (1 work)