Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis
Abstract Medulloblastoma is a malignant neuroepithelial tumor of the central nervous system. Accurate prediction of prognosis is essential for therapeutic decisions in medulloblastoma patients. We analyzed data from 2,322 medulloblastoma patients using the SEER database and randomly divided the data...
| Published in: | Scientific Reports |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-06-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-65367-9 |
