Ensemble learning prediction model for intraoperative hemodynamic instability in patients with pheochromocytoma
This study identified five key predictors of intraoperative HI in patients with pheochromocytoma. The developed EL model provides an accurate, clinically applicable HI risk estimation tool, potentially improving clinical management.
Authors
- Liang Zhao (ORCID: https://orcid.org/0000-0002-1303-8775)
- Li Zang
- Rui Lin (ORCID: https://orcid.org/0000-0001-9560-7187)
- Jingtao Dou (ORCID: https://orcid.org/0000-0003-0375-6527)
- Yingshu Liu (ORCID: https://orcid.org/0000-0002-4671-1145)
- Zhengnan Gao (ORCID: https://orcid.org/0000-0002-0077-8758)
- Shen Li (ORCID: https://orcid.org/0000-0002-3022-1141)
- Kang Chen (ORCID: https://orcid.org/0000-0002-6305-0908)
- Zhaohui Lyu (ORCID: https://orcid.org/0000-0002-3912-329X)
- Yi-Ming Mu
- Weijun Gu
- Chao Liu (ORCID: https://orcid.org/0000-0002-6708-4654)
Institutions
- Dalian University of Technology (CN)
- People's Liberation Army No. 150 Hospital (CN)
- Dalian Municipal Central Hospital (CN)
- Cloud Computing Center (CN)
- Johns Hopkins Hospital (US)
- Baidu (China) (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3389/fendo.2025.1670909
- Primary Topic
- Adrenal and Paraganglionic Tumors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Dalian University of Technology
- General Hospital of People’s Liberation Army
- Dalian Science and Technology Innovation Fund