Impact of nutrition‐related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol
The study underscores the critical role of nutrition-related parameters in ICU patient outcomes. Advanced AI models, particularly in an ensemble approach, demonstrated improved predictive accuracy. SHAP analysis offered insights into specific factors influencing patient survival, highlighting the need for broader consideration of these biomarkers in critical care management.
Authors
- Han Young Lee (ORCID: https://orcid.org/0000-0002-6509-4154)
- Seung Min Baik (ORCID: https://orcid.org/0000-0003-1051-6775)
- Hoonsung Park (ORCID: https://orcid.org/0000-0002-4563-7692)
- Jae Myeong Lee (ORCID: https://orcid.org/0000-0001-5494-0653)
- Dong Jin Park (ORCID: https://orcid.org/0000-0002-2412-5292)
Institutions
- Ewha Womans University (KR)
- Korea University (KR)
- Korea University Medical Center (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Nutrition in Clinical Practice
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1002/ncp.11238
- Citations
- 4
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.61