Survival guided adaptive clustering enhances mortality risk stratification and radiotherapy guidance in early stage uterine sarcoma
Abstract Uterine sarcomas are rare and aggressive tumors with heterogeneous outcomes, making accurate risk stratification crucial for personalized treatment. This study introduced a novel semi-supervised clustering approach, survival-guided adaptive Kmeans (SGAKmeans), for enhanced mortality risk st...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13139-4 |
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