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基于机器学习的预测和量化强迫症手术和家长对赛马表现的影响

S J An¹, Y W Sohn², E Forbes³

¹Department of Artificial Intelligence, Cheju Halla University, Jeju 63092, Korea.

Veterinary journal (London, England : 1997)

|February 23, 2026

概括

在纯血犬中,骨髓炎剖析 (OCD) 手术不会显著影响长期的比赛表现. 在这种马群体中,血统是比手术史或损伤严重程度更强烈的赛车成功的预测因素.

科学领域:

马类骨科马类骨科马类骨科
兽医体育医学兽医体育医学
动物科学动物科学

背景情况:

骨质软骨炎剖析 (OCD) 是纯种赛马中普遍存在的一种骨科疾病.
关节镜手术是一种常见的治疗方法,但其对赛车表现的长期影响尚不清楚.

研究的目的:

为了评估强迫症手术对纯种种族比赛表现的影响.
为了比较血统和管理变量对比赛结果的预测值.
应用机器学习来预测强迫症手术后的比赛表现.

主要方法:

对75名经过强迫症手术的纯血动物和257名对照动物进行了回顾性研究.
对生物识别,血统,手术和比赛表现数据的分析.
使用梯度增强模型 (XGBoost,CatBoost) 与衍生功能和SHAP进行预测和解释.

主要成果:

结合衍生特征的机器学习模型显示出优异的预测性能 (最佳R2 = 0.7983).
血统是比赛表现的最强有力的预测因素,超过了外科变量.
手术时的年龄和病变严重程度具有有限的预测价值.

结论:

纯血犬的强迫症手术似乎不会显著影响长期的比赛表现.
血统是比手术史更重要的赛车成功的决定因素.
研究结果为患有强迫症的马的育种,治疗和销售决策提供了洞察力.

关键词:

在 CatBoost 中使用 CatBoost.机器学习机器学习骨质疏松症可以分离.祖父的血统祖父的血统竞赛表现竞赛表现这就是 SHAP SHAP 的意思.纯血统的纯血统的

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