A clinical prediction model for distant metastases of pediatric neuroblastoma: an analysis based on the SEER database
The study developed and validated a machine learning model based on clinical and pathological information for predicting the risk of distant metastasis in patients with neuroblastoma, which may help physicians make clinical decisions.
Authors
- Yumeng Wu (ORCID: https://orcid.org/0000-0001-7648-365X)
- Yuehua Chen (ORCID: https://orcid.org/0000-0002-3153-596X)
- Xiubing Zhang (ORCID: https://orcid.org/0009-0000-9147-3089)
- Jian Xu (ORCID: https://orcid.org/0000-0003-2552-2553)
- Zhiwei Yan (ORCID: https://orcid.org/0000-0001-6635-482X)
- Qiyou Yin
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Nantong Tumor Hospital (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2024-09-19
- DOI
- https://doi.org/10.3389/fped.2024.1417818
- Citations
- 3
- Primary Topic
- Neuroblastoma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.11