Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches.
Journal:
BMC endocrine disorders
PMID:
40140995
Abstract
BACKGROUND: Hyperglycemic crisis is one of the most common and severe complications of diabetes mellitus, associated with a high motarlity rate. Emergency admissions due to hyperglycemic crisis remain prevalent and challenging. This study aimed to develop and validate predictive models for in-hospital mortality risk among patients with hyperglycemic crisis admitted to the emergency department using various machine learning (ML) methods.