使用关联规则挖掘算法对2型糖尿病患者的多病态模式和关联规则的调查
Lianhua Liu1, Xiaodan Wang1, Mei Gui1
1Department of Biostatistics, School of Public Health, Hainan Medical University, Hainan, China.
Scientific reports
|July 16, 2025
概括
多病症几乎影响所有2型糖尿病患者,随着年龄的增长而增加,对男性的影响更大. 常见的模式包括糖尿病外围神经病变和血管疾病,指导临床预防和研究.
科学领域:
- 内分泌学和糖尿病研究研究
- 计算生物学和生物信息学
背景情况:
- 2型糖尿病 (T2DM) 经常伴有多病症,但特定的疾病模式和促成因素仍然不完全理解.
- 了解这些复杂的并发症对于有效的患者管理和有针对性的干预至关重要.
研究的目的:
- 调查T2DM住院患者多病症的患病率,模式和影响因素.
- 确定常见的疾病组合和关联规则,包括性别,年龄和BMI特定变异.
主要方法:
- 分析了5838名T2DM患者的电子病历,检查了26种疾病.
- 统计方法包括千平方测试,后勤回归和关联规则挖掘.
- 网络图表可视化了并发症关系.
主要成果:
- 观察到多病发病率很高 (97.8%),随着年龄的增长而增加,男性的发病率更高.
- 糖尿病外周神经病 (DPN) 和糖尿病外周血管疾病 (DPVD) 形成了最常见的并发病模式.
- 关键关联规则: {DPVD + 糖尿病病 (DN) } → {高血压}. 模式因性别,年龄和BMI而有显著差异.
结论:
- 在T2DM患者中,多病症几乎是普遍存在的,其独特的模式受到人口统计学和临床因素的影响.
- 研究结果强调了DPN和DPVD之间的强烈关联,以及DPVD,DN和高血压之间的联系.
- 结果为临床实践和对T2DM多发症的未来研究提供了宝贵的见解.
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