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Updated: Sep 9, 2025

A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
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在心血管风险评估中预测动脉内膜厚度的Kolmogorov-Arnold网络

Ali Al Bataineh1, Bandi Vamsi2, Mohammed El-Abd3

  • 1Artificial Intelligence Center, Norwich University, Northfield, VT, 05663, USA.

Scientific reports
|September 1, 2025
PubMed
概括

一个新的科尔莫戈罗夫-阿诺德网络 (KAN) 准确地预测心血管疾病风险,使用心血管内膜厚度 (CIMT) 数据. 这种人工智能模型在临床实践中为早期心血管风险分层提供了一个有前途的工具.

关键词:
心血管风险预测冠状动脉内膜厚度 (CIMT)科尔莫戈罗夫·阿诺德网络 (KAN)机器学习模型

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