新诊断的2型糖尿病患者中微血管并发症的风险使用自动机器学习预测模型
Amar Khamis1, Fatima Abdul2, Stafny Dsouza2
1Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Journal of clinical medicine
|December 17, 2024
概括
机器学习准确地预测了新型2型糖尿病患者的微血管并发症. 关键预测因素包括BMI,HDL,年龄和尿液白蛋白,使早期干预成为可能.
科学领域:
- 内分泌学和新陈代谢学
- 医疗保健中的人工智能
- 糖尿病学 糖尿病学
背景情况:
- 微血管并发症 (眼睛,脏,神经损伤) 显著损害2型糖尿病 (T2D) 患者的生活质量.
- 早期发现有微血管并发症风险的T2D患者对于及时干预至关重要.
- 现有的风险预测模型可能无法完全捕捉新诊断的个体中微血管并发症发展的复杂性.
研究的目的:
- 在迪拜,阿联,对新诊断的T2D患者进行前性评估,评估微血管并发症的风险.
- 使用机器学习技术开发和验证微血管并发症的预测模型.
- 确定与早期T2D中微血管并发症风险相关的关键临床和生化因素.
主要方法:
- 使用IBM SPSS Modeler使用监督自动机器学习 (贝叶斯网络) 进行了应用.
- 使用了348名长期T2D患者并发症的培训数据集和338名新诊断的T2D患者没有并发症的独立验证队列.
- 用曲线下面面积 (AUC),准确度,灵敏度和特异性在三个自动化模型场景中评估模型性能.
主要成果:
- 在所有测试的场景中,贝叶斯网络表现出高的预测性能 (AUC 77-87%).
- 新诊断的T2D患者的微血管并发症预测风险为22.5%.
- 后勤回归确定了身体质量指数 (BMI),高密度脂蛋白 (HDL),诊断时的年龄,访问时的年龄和尿液白蛋白作为重要预测因素,解释了90%以上的变化.
结论:
- 贝叶斯网络模型在预测新诊断T2D患者的微血管并发症方面是有效的.
- 早期的T2D管理应侧重于控制BMI,改善HDL水平,并监测尿白蛋白.
- 诊断时的年龄和访问时的年龄是影响T2D微血管并发症风险的关键因素.
更多相关视频
04:36Author Spotlight: Understanding Retinal Vessel Resilience and Disease Progression
Published on: January 12, 2024
1.0K
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
相关概念视频
01:15Diabetes: Symptoms, Diagnosis, and Complications
503
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
503
01:36Carbohydrate Metabolism
10.8K
Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in...
10.8K
01:22Diabetes Mellitus: Overview and Type I Subtype
2.4K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
2.4K