用人工神经网络评估2型糖尿病患者神经病变的影响因素
Jamileh Abolghasemi1, Shahnaz Rimaz2, Sadegh Kargarian-Marvasti3
1Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, IRN.
Cureus
|June 10, 2024
概括
在2型糖尿病患者中确定了糖尿病神经病变的危险因素. 女性,有家族病史的患者和注射药物的使用者面临更高的风险,需要主动管理.
科学领域:
- 医学研究 医学研究
- 糖尿病学 糖尿病学
- 神经学 神经学
背景情况:
- 糖尿病神经病变是2型糖尿病的常见并发症,影响患者的生活质量并增加医疗保健费用.
- 识别风险因素对于及时干预和有效管理这种疾病至关重要.
研究的目的:
- 研究导致2型糖尿病患者神经病变发展的因素.
- 利用人工神经网络 (ANN) 来预测神经病变风险.
主要方法:
- 这是一项为期12年的队列研究,涉及来自伊朗Fereydunshahr的371名2型糖尿病患者.
- 采用了ANN和后勤回归模型,使用接收器操作特征 (ROC) 曲线分析评估性能.
主要成果:
- 神经病变的患病率为31.2%.
- 最好的ANN模型实现了0.903的曲线下面积 (AUC),超过了后勤回归 (AUC=0.803).
- 确定了关键的风险因素:性别,种族,糖尿病家族史,治疗类型,胆固醇,甘油三,高血糖,糖尿病持续时间. 女性,有家族病史的人,以及服用注射药物或联合药物的患者,风险增加.
结论:
- 警监测和积极管理确定的神经病风险因素是必不可少的.
- 应特别注意女性,有糖尿病家族史的个人,以及服用注射或联合糖尿病药物的患者.
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