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生物医学文本的自然语言处理用于绘制和优先考虑HFpEF中的蛋白质疾病关联

Clodomir Santana1, Chitra Mukherjee2, Arnib Quazi3

  • 1Department of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.

Computers in biology and medicine
|March 4, 2026
PubMed
概括

这项研究使用机器学习分析了数以百万计的生物医学摘要,识别了心血管疾病 (CVD) 的关键蛋白质,并揭示了心力衰竭与保留喷射分数 (HFpEF) 作为多系统性疾病.

关键词:
发现生物标志物的发现.心血管疾病是什么心血管疾病分子签名 分子签名.自然语言处理自然语言处理.

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