Machine Learning Insight: Unveiling Overlooked Risk Factors for Postoperative Complications in Gastric Cancer
Machine learning, coupled with advanced variable selection techniques, showed promise in enhancing risk prediction of postoperative complications for gastric cancer surgery.
Authors
- Sejin Lee (ORCID: https://orcid.org/0000-0002-9634-8313)
- Chan Young Kim (ORCID: https://orcid.org/0000-0001-6656-9425)
- Hyo-Jung Oh (ORCID: https://orcid.org/0000-0001-8067-2832)
- H.-J. Yoo
Institutions
- Jeonbuk National University Hospital (KR)
- Jeonbuk National University (KR)
- Korea Institute of Science & Technology Information (KR)
Publication Details
- Journal
- Cancers
- Published
- 2025-04-04
- DOI
- https://doi.org/10.3390/cancers17071225
- Citations
- 3
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- Biomedical Research Institute, Jeonbuk National University Hospital
- Jeonbuk National University