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Updated: Jun 6, 2025

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机器学习算法在预测部骨折手术后的短期并发症方面超过了并发症指数

Anirudh K Gowd1, Edward C Beck, Avinesh Agarwalla

  • 1From the Department of Orthopedic Surgery, Wake Forest University Baptist Medical Center, Winston-salem, NC (Gowd, Beck, Godwin, and Waterman), the Cedars Sinai Medical Center, Los Angeles, CA (Gowd), the Department of Orthopedic Surgery, Westchester Medical Center, Winston-salem, NC (Dr. Agarwalla), the Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC (Patel), Department of Orthopedic Surgery, the Cedars Sinai Medical Center, Los Angeles, CA (Dr. Little), the USC Epstein Family Center for Sports Medicine, Keck Medicine of USC, Los Angeles, CA (Dr. Liu).

The Journal of the American Academy of Orthopaedic Surgeons
|November 27, 2024
PubMed
概括

与传统方法相比,机器学习 (ML) 算法显著改善了关节骨折的手术风险评估. 这些ML模型提供了一种更可靠的方式来预测患者的结果,包括并发症和出院,帮助临床决策.

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