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首页> 外文期刊>Journal of Applied Biomedicine >A novel algorithm for identifying risk factors for rare events: Predicting transient ischemic attack in young patients with low-risk atrial fibrillation
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A novel algorithm for identifying risk factors for rare events: Predicting transient ischemic attack in young patients with low-risk atrial fibrillation

机译:一种识别罕见事件危险因素的新颖算法:预测年轻低危房颤患者的短暂性脑缺血发作

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Identification of risk factors for transient ischemic attack (TIA) is crucial for patients with atrial fibrillation (AF). However, identifying risk factors in young patients with low-risk AF is difficult, because the incidence of TIA in such patients is very low, which would result in traditional multiple logistic regression not being able to successfully identify the risk factors in such patients. Therefore, a novel algorithm for identifying risk factors for TIA is necessary. We thus propose a novel algorithm, which combines multiple correspondence analysis and hierarchical cluster analysis and uses the Taiwan National Health Insurance Research Database, a population-based database, to determine risk factors in these patients. The results of this study can help clinicians or patients with AF in preventing TIA or stroke events as early as possible.
机译:识别短暂性脑缺血发作(TIA)的危险因素对于房颤(AF)患者至关重要。但是,很难确定年轻的低危房颤患者的危险因素,因为这类患者的TIA发生率非常低,这将导致传统的多因素Logistic回归无法成功识别此类患者的危险因素。因此,需要一种新颖的算法来识别TIA的危险因素。因此,我们提出了一种新颖的算法,该算法结合了多种对应分析和层次聚类分析,并使用台湾国民健康保险研究数据库(基于人群的数据库)来确定这些患者的危险因素。这项研究的结果可以帮助临床医生或房颤患者尽早预防TIA或中风事件。

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