Predicting Oncological and Functional Outcomes by Nephrectomy Type for T1 Renal Tumors Using Machine Learning Models
Purpose Determining the optimal surgical approach for patients with T1 renal tumors requires balancing long-term oncological and renal functional outcomes. Using machine learning algorithms, we aimed to develop a model to predict both outcomes simultaneously, according to each radical (RN) and parti...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Urological Oncology Society
2025-03-01
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| Series: | Journal of Urologic Oncology |
| Subjects: | |
| Online Access: | http://www.e-juo.org/upload/pdf/juo-255000040002.pdf |
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