Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning
In practice, we should improve perinatal care and obstetrics with the aim of reducing the occurrence of hypoxia and preterm delivery. When feeding, early milk opening, the use of probiotics, the stimulation of defecation and other measures should be implemented with the aim of reducing the occurrence of FI.
Authors
- Hui Xu (ORCID: https://orcid.org/0000-0003-2465-8627)
- Lianguo Fu (ORCID: https://orcid.org/0000-0003-3619-4858)
- Ziyu Peng (ORCID: https://orcid.org/0000-0002-2541-7537)
- Rui Zhou (ORCID: https://orcid.org/0000-0002-0782-4761)
- Xingwang Peng
- Rui Wang (ORCID: https://orcid.org/0000-0002-2629-4735)
Institutions
- Bengbu Medical College (CN)
- Xuzhou Medical College (CN)
- Shanghai Medical Information Center (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1186/s12911-024-02751-5
- Citations
- 10
- Primary Topic
- Infant Nutrition and Health
- Type
- article
- Field-Weighted Citation Impact
- 3.10
Funders
- Bengbu Medical College