A comparative analysis of prognostic regression models and machine learning algorithms in surgical decision-making of cardial submucosal tumors
Background and aims: Non-tunneling and submucosal tunneling endoscopic resection (STER) techniques are the most frequent treatments for cardial submucosal tumor (SMT). Here, we analyzed common machine learning (ML) algorithms and compared them with traditional regression models in surgical decision-...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-01-01
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| Series: | Gastroenterology & Endoscopy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949752323000626 |