Construction of diagnostic models with machine-learning algorithms for colorectal cancer based on clinical laboratory parameters
The use of machine learning combined with multiple laboratory parameters effectively improved the diagnostic efficiency of CRC and provided more accurate results for clinical diagnosis.
Authors
- Wei Luo (ORCID: https://orcid.org/0000-0002-7066-8837)
- Xueping Lin
- Aasma Shaukat
- Shiqiong Niu
- Peter C. Ambe (ORCID: https://orcid.org/0000-0002-6614-3480)
- Shaotuan Deng
- Zhaofan Luo
- Hongbo Jiang (ORCID: https://orcid.org/0009-0005-3330-622X)
- Chengxiong Zhan
- Yangze Lin
- Yu Shu
- Ju Wang
- Qiurong Yuan
- Dengqing Si
Institutions
- Witten/Herdecke University (DE)
- Vinzenz Pallotti Hospital Bensberg (DE)
- Mindray (China) (CN)
- New York University (US)
Publication Details
- Journal
- Journal of Gastrointestinal Oncology
- Published
- 2024-09-23
- DOI
- https://doi.org/10.21037/jgo-24-516
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40