Exploring Inflammatory-Related Factors Associated with Postoperative Length of Hospital Stay in Elderly Patients Undergoing Gastrointestinal Tumor Surgery Using Machine Learning
In elderly patients undergoing gastrointestinal tumor resection, preoperative neutrophil percentage and the change in neutrophil percentages from pre- to postoperative periods significantly influence postoperative LOS.
Authors
- Xiaoxuan Zhan
- Jing Liu (ORCID: https://orcid.org/0000-0002-3311-0818)
- Yanli Hu (ORCID: https://orcid.org/0000-0002-9811-5572)
- Li Cai (ORCID: https://orcid.org/0000-0003-0021-5442)
- Huanwei Wang
Institutions
- Sun Yat-sen University (CN)
- Nanfang Hospital (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/jir.s542616
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00