Online machine learning model for predicting delirium risk in elderly patients with chronic kidney disease: development and preliminary validation
This study's prediction model accurately assesses delirium risk in elderly CKD patients, showing robust performance and clinical utility. Its web-based dynamic calculator supplies personalized risk evaluation in ICU settings, supporting early identification and proactive interventions to enhance clinical management.
Authors
- Shijun Tong
- Yuanshuo Ge (ORCID: https://orcid.org/0000-0003-0998-4870)
- Weijie Huang (ORCID: https://orcid.org/0000-0003-1871-6202)
- Xingyi Yang (ORCID: https://orcid.org/0000-0002-7280-4820)
- Guangdong Wang (ORCID: https://orcid.org/0000-0001-7237-3517)
- Lang Gao (ORCID: https://orcid.org/0000-0002-6607-3240)
Institutions
- Qinghai University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Hangzhou Medical College (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1186/s40001-025-03455-w
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00