Ultrasound combined with serological markers for predicting neonatal necrotizing enterocolitis: a machine learning approach
A machine learning model integrating ultrasound and serological markers significantly improves the prediction of NEC in neonates compared to single-modality approaches. This multimodal approach has the potential to facilitate earlier diagnosis and intervention, potentially improving outcomes in this high-risk population.
Authors
- Yi Yang (ORCID: https://orcid.org/0000-0001-6603-9459)
- Chenhan Zheng (ORCID: https://orcid.org/0000-0003-3074-1195)
- Xiaohong Zhong
- Shengru Zhou (ORCID: https://orcid.org/0000-0001-6761-1584)
- Yanhong Zhang (ORCID: https://orcid.org/0000-0002-0289-5886)
- Xiaomin Liu (ORCID: https://orcid.org/0000-0002-0827-5397)
- Liping Lin (ORCID: https://orcid.org/0000-0003-3641-8102)
Institutions
- Children’s Hospital of Fudan University Xiamen Branch (CN)
- Xiamen Maternal and Child Health Hospital (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-07-14
- DOI
- https://doi.org/10.3389/fped.2025.1606571
- Citations
- 1
- Primary Topic
- Infant Nutrition and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.12