Analyzing factors influencing hospitalization costs for five common cancers in China using neural network models
This study confirmed the strong clinical applicability of the neural network predictive model in analyzing hospitalization costs for lung and colon cancer and revealed the factors that influence hospitalization costs for these cancers.
Authors
- Zhihuan Li (ORCID: https://orcid.org/0009-0009-1754-7516)
- Shengbo Zhang
- Chengliang Yin (ORCID: https://orcid.org/0000-0001-8262-5749)
- Rui He (ORCID: https://orcid.org/0000-0001-5288-9786)
- ShuaiFei Wang
- Sijia Ren
- Ying Xiao (ORCID: https://orcid.org/0000-0002-9855-4524)
- Xudan Luo (ORCID: https://orcid.org/0000-0002-3375-3688)
- Jing Yan (ORCID: https://orcid.org/0000-0001-6245-7434)
- Hong Jiang
- Shan Zhou (ORCID: https://orcid.org/0000-0001-5795-8277)
Institutions
- Macau University of Science and Technology (MO)
- Beijing Institute of Technology (CN)
- Universitat Pompeu Fabra (ES)
- China Resources (China) (CN)
- Zhuhai People's Hospital (CN)
- Language Science (South Korea) (KR)
- Cleveland Clinic Florida (US)
- Zhuhai Institute of Advanced Technology (CN)
- Beihang University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Medical Economics
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1080/13696998.2025.2494459
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00