Development of a high-altitude renal disease diagnostic model based on machine learning and multiple biomarker detection: a retrospective study of 19,068 patients

Machine learning models significantly improve diagnostic accuracy of CKD in high-altitude populations. ANN and RF models demonstrated promising predictive capability, supporting their potential clinical application in high-altitude regions.