Constructing a Clinical Patient Similarity Network of Gastric Cancer
Overall, we constructed a cancer-specific cPSN with excellent interpretability and clinical significance, which would recapitulate patient similarity in the real-world. The constructed cPSN model is scalable, generalizable, and performs well for various data types.
Authors
- Rukui Zhang (ORCID: https://orcid.org/0000-0001-8159-694X)
- Chaoyu Zhu
- Hui Cai (ORCID: https://orcid.org/0000-0002-6182-966X)
- Kai Yin (ORCID: https://orcid.org/0000-0002-1767-5210)
- Fan Zhong (ORCID: https://orcid.org/0000-0001-9915-9609)
- Zhaorui Liu (ORCID: https://orcid.org/0000-0002-1589-7987)
- Lei Liu (ORCID: https://orcid.org/0000-0002-4604-4629)
Institutions
- Second Military Medical University (CN)
- Fudan University (CN)
- Changhai Hospital (CN)
Publication Details
- Journal
- Bioengineering
- Published
- 2024-08-09
- DOI
- https://doi.org/10.3390/bioengineering11080808
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Changhai Hospital of Shanghai