认为这是一个警告
Sam Freesun Friedman1, Shaan Khurshid2,3,4
1Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Patterns (New York, N.Y.)
|July 15, 2024
概括
研究人员使用霍尔特心电图数据开发了WARN模型,以提前几分钟预测心房动 (AF). 这种短期的AF预测能够及时进行干预,从而减少医疗负担.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 预测分析是一种预测分析.
背景情况:
- 在各种患者群体和时间范围内,心房动 (AF) 的预测具有临床意义.
- 当前的预测模型往往缺乏立即可操作的洞察力的细节性.
- 持续监测对于捕捉过渡性心律失常,如AF,至关重要.
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