Machine learning-driven personalized tranexamic acid administration recommendations improve perioperative outcomes in orthopedic surgery patients: A large-scale database study
Abstract Objective To develop a personalized recommendation strategy for tranexamic acid administration during the perioperative period of orthopedic surgery based on machine learning, aiming to reduce perioperative bleeding and related complications and improving clinical outcomes. Methods A to...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Chinês |
| Vydáno: |
Editorial Office of Journal of Army Medical University
2025-11-01
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| Edice: | 陆军军医大学学报 |
| Témata: | |
| On-line přístup: | https://aammt.tmmu.edu.cn/html/202507025.html |
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