相关实验视频

Updated: Jun 4, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

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简化冠状动脉疾病风险分层:开发和验证一个可比临床风险工具的基于问卷的替代方案

Michail Kokkorakis1, Pytrik Folkertsma2, Filippos Anagnostakis3

  • 1Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

EBioMedicine
|December 26, 2024
PubMed
概括

一个新的基于问卷的模型,QUES-CAD,有效地识别出患冠状动脉疾病 (CAD) 高风险的个体,而不需要物理测量或生物标志物. 这种具有成本效益的工具适用于全民查,特别是在资源有限的环境中.

关键词:
冠状动脉疾病是一种冠状动脉疾病.数据驱动的预测数据驱动的预测.区分能力 区分能力 区分能力机器学习是机器学习.人口查的人口查.风险分层是指风险的分层.

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