Nomogram Model for Predicting Minimal Breast Cancer Based on Clinical and Ultrasonic Characteristics
The nomogram prediction model has good discrimination, calibration and clinical practical value in the training set and validation set. The minimal breast cancer prediction model based on clinical and ultrasonic features possesses high clinical value, facilitating the early diagnosis of minimal breast cancer.
Authors
- Xiaofang Fan (ORCID: https://orcid.org/0000-0002-7234-0093)
- Wei-Min Li (ORCID: https://orcid.org/0000-0003-3514-0268)
- Leslie Cheng (ORCID: https://orcid.org/0000-0003-3981-897X)
- Tian Xu (ORCID: https://orcid.org/0000-0002-2160-0027)
- Feng Ye (ORCID: https://orcid.org/0000-0003-4303-406X)
- Hongjian Li (ORCID: https://orcid.org/0000-0003-2143-7079)
Institutions
- Jiangnan University (CN)
- Xuzhou Medical College (CN)
- Wuxi Fourth People's Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Wuxi People's Hospital (CN)
- Wuxi Institute of Technology (CN)
Publication Details
- Journal
- International Journal of Women s Health
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/ijwh.s482291
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Wuxi Health and Family Planning Commission
- Young Scientists Fund