Development and validation of a nomogram for screening patients with type 2 diabetic ketoacidosis
Our model offers a convenient and accurate tool for predicting whether DKA is present. Excluding input variables that may potentially hinder patient compliance increases the practical application significance of our model.
Authors
- Gui Zhong Li
- Hui Li (ORCID: https://orcid.org/0000-0003-1834-7494)
- Bo Su (ORCID: https://orcid.org/0000-0002-5878-718X)
Institutions
- Ningxia Medical University (CN)
- Aviation General Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Endocrine Disorders
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1186/s12902-024-01677-3
- Citations
- 1
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.55