Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus
In this study, an ML model (RF) capable of predicting post-intervention DPC in children with PDA undergoing transcatheter closure was established.
Authors
- Tianhe Xia
- Rongzhou Wu (ORCID: https://orcid.org/0000-0003-2386-8104)
- Yuee He
- Q. Ye
- X C Wang
- Songyue Zhang
- Xing Rong (ORCID: https://orcid.org/0009-0003-0962-9577)
- Hao Li (ORCID: https://orcid.org/0000-0001-5444-1168)
- Yidong Zhang (ORCID: https://orcid.org/0000-0001-9159-0656)
- Tingting Wu (ORCID: https://orcid.org/0000-0001-5289-8172)
- Qiaoyu Wang (ORCID: https://orcid.org/0009-0009-9708-0273)
Institutions
- Wenzhou Medical University (CN)
- Fujian Women and Children Hospital (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-02-06
- DOI
- https://doi.org/10.3389/fped.2025.1519002
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.36