进展到心肌梗塞短期死亡基于间隔顺序模式采矿的基础上
Yang-Sheng Wu1, David Taniar2, Kiki Adhinugraha3
1Computer Science and Information Engineering, National Taipei University of Technology, Taipei, 106344, Taiwan.
BMC cardiovascular disorders
|August 10, 2023
概括
识别糖尿病和高血压等诊断前并发症可以预测心肌梗塞 (MI) 患者的短期死亡风险. 这有助于早期干预,延长心血管疾病 (CVD) 患者的存活时间.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
背景情况:
- 心肌梗塞 (MI) 是一种主要的心血管疾病 (CVD).
- 台湾的健康数据显示,心脏病发作诊断后的早期死亡风险很高,随着时间的推移稳定下来.
- 早期识别风险因素对于改善心脏病发作患者的生存率至关重要.
研究的目的:
- 为了确定MI诊断前的并发症模式,从而预测短期死亡率.
- 探索用于早期识别高风险心脏病发作患者的轨迹模式.
主要方法:
- 使用间隔顺序模式挖掘和赔率比率分析.
- 分析了来自台湾国家健康保险研究数据库的住院记录.
- 评估疾病进展以早期识别有风险的个体.
主要成果:
- 确定了五种关键疾病途径,与MI后的短期死亡有关.
- 这些途径包括糖尿病,尿路疾病,精性高血压,高血压性心脏病和慢性缺血性心脏病.
- 这些已识别的途径占研究队列的一半.
结论:
- 已确定的疾病轨迹模式可以识别高风险早期死亡的MI患者.
- 早期发现特定的并发症模式可以指导干预措施,以改善心肌梗塞幸存者的长期结果.
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