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一个用于准确预测CMV末端器官疾病的机器学习模型

Yeliz Çiçek1,2, Gökhan Silahtaroğlu3,4

  • 1Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Türkiye. yeliz.cicek@medipol.edu.tr.

BMC medical informatics and decision making
|February 10, 2026
PubMed
概括

机器学习模型可以准确地预测高风险患者的细胞巨乳病毒 (CMV) 末端器官疾病 (EOD). 综合方法显示出最高的准确性,有助于早期诊断和移植接受者的个性化治疗.

关键词:
人工智能的人工智能是人工智能.细胞巨乳病毒终端器官疾病机器学习是机器学习.

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