Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study
The CARES model was firstly developed based on ML methods and further encapsulated into an online version for predicting the recurrence of patients with RH after hepatectomy, which can guide clinical decision-making and personalised postoperative surveillance.
Authors
- Hui Hou (ORCID: https://orcid.org/0000-0002-5568-4644)
- Xiaoping Geng (ORCID: https://orcid.org/0000-0002-8304-5225)
- Fubao Liu (ORCID: https://orcid.org/0000-0002-6247-0759)
- Jiangming Chen (ORCID: https://orcid.org/0000-0002-9844-2370)
- Xiaoming Wang (ORCID: https://orcid.org/0000-0003-4559-7413)
- Yibo Zhang (ORCID: https://orcid.org/0000-0001-9986-6397)
- Zihan Li (ORCID: https://orcid.org/0009-0001-1334-027X)
- Cheng Wang (ORCID: https://orcid.org/0000-0002-2217-3784)
- Zixiang Chen
- Zheng Lu
Institutions
- University of Science and Technology of China (CN)
- Chinese University of Hong Kong (HK)
- Anhui Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
- Imperial College London (GB)
- University of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2024-11-27
- DOI
- https://doi.org/10.3389/fdgth.2024.1510674
- Citations
- 3
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.26