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Updated: May 5, 2026

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一个基于机器学习的模型,用于预测川崎病的静脉免疫球蛋白耐药性

Yuhan Xia1,2,3, Yuezhong Huang1,2, Min Gong4

  • 1Zhejiang Provincial Clinical Research Center for Pediatric Precision Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

iScience
|March 20, 2025
PubMed
概括

在川崎病 (KD) 中预测静脉注射免疫球蛋白 (IVIG) 耐药性至关重要. 一个新的随机森林模型准确地识别出可能抵抗IVIG治疗的患者,帮助临床决策.

关键词:
心血管医学 心血管医学机器学习是机器学习.

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