Prediction models for retinopathy of prematurity occurrence based on artificial neural network
We developed predictive models for ROP using artificial neural network. GA-BP neural network exhibited superior predictive ability for ROP when dealing with its non-linear clinical data.
Authors
- Songfu Feng (ORCID: https://orcid.org/0000-0002-3494-4013)
- Yichen Bai
- He Chen (ORCID: https://orcid.org/0000-0001-6356-1655)
- Yu Zhang (ORCID: https://orcid.org/0000-0001-8456-7335)
- Xiaohe Lu (ORCID: https://orcid.org/0000-0003-2173-7290)
- Rong Wu (ORCID: https://orcid.org/0000-0001-8714-1508)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Zhujiang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2024-08-05
- DOI
- https://doi.org/10.1186/s12886-024-03562-y
- Citations
- 7
- Primary Topic
- Retinopathy of Prematurity Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Guangzhou Municipal Science and Technology Project