Predicting the Recurrence of Ovarian Cancer Based on Machine Learning
The machine learning techniques can achieve a more accurate assessment of the recurrence of ovarian cancer, which can help clinicians make decisions, and develop personalized treatment strategies.
Authors
- Xiang Chen (ORCID: https://orcid.org/0000-0002-8527-1744)
- Fuying Chu (ORCID: https://orcid.org/0000-0001-8400-396X)
- Lining Zhou (ORCID: https://orcid.org/0009-0004-5444-6275)
- Chenlu Wang (ORCID: https://orcid.org/0000-0003-0232-3447)
- Hong Hong (ORCID: https://orcid.org/0000-0002-1009-3621)
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Anyang Hospital of Traditional Chinese Medicine (CN)
- Second Affiliated Hospital of Nantong University
Publication Details
- Journal
- Cancer Management and Research
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/cmar.s482837
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.83