一个机器学习网络应用程序,以预测糖尿病血糖基于基本的非侵入性健康检查,社会人口统计学特征和饮食信息:案例研究
Masuda Begum Sampa1,2, Topu Biswas2, Md Siddikur Rahman3
1Center for Engineering Computational Intelligence, Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.
JMIR diabetes
|November 24, 2023
概括
这项研究开发了一种机器学习 (ML) 模型,使用非侵入性数据预测孟加拉国企业工人的血糖水平. 增强决策树回归模型取得了最佳表现,有助于糖尿病管理.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 公共卫生 公共卫生
背景情况:
- 糖尿病是一个日益严重的全球健康问题,特别是在孟加拉国.
- 机器学习 (ML) 具有预测血糖水平的潜力,但在孟加拉国等低收入国家缺乏验证.
- 在孟加拉国,使用非侵入性数据对ML进行血糖预测的研究很少.
研究的目的:
- 开发一个个性化的ML模型来预测孟加拉国城市企业工人的血糖水平.
- 支持公共卫生规划和糖尿病控制战略.
- 为解决孟加拉国缺乏基于ML的糖尿病预测研究的问题.
主要方法:
- 利用271名格林银行员工的非侵入性健康检查结果,饮食和社会人口统计数据.
- 应用了五种ML模型:线性回归,增强决策树回归,神经网络,决策森林回归和贝叶斯线性回归.
- 训练模型使用连续的血糖数据来预测新的值.
主要成果:
- 增强决策树回归表现出最高的预测准确性 (RMSE=2.30 mg/dL).
- 平均血糖水平为128.02毫克/分升 (SD 56.92),许多样本的边界值 (正常值<140毫克/分升).
- 结果表明,在被研究的人群中需要定期监测血糖.
结论:
- 创建了一个支持ML的Web应用程序,用于自我监测血糖水平.
- 该应用程序是为低收入和中等收入国家的偏远地区设计的,医疗保健的获取有限.
- 这种实用工具可以降低医疗保健成本,并为健康和福祉的可持续发展目标做出贡献.
相关概念视频
01:22Diabetes Mellitus: Type 2 and Gestational
2.5K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
2.5K
01:15Diabetes: Symptoms, Diagnosis, and Complications
554
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...
554
01:12Statistical Software for Data Analysis and Clinical Trials
576
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
576
01:15Hypoglycemia and Glucagon
273
Without prolonged fasting, healthy individuals maintain blood glucose levels above 3.5 mM due to a well-adapted neuroendocrine counterregulatory system that effectively prevents acute hypoglycemia, a potentially life-threatening condition. The primary clinical scenarios for hypoglycemia encompass diabetes treatment, inappropriate production of endogenous insulin or insulin-like substances by tumors, and the use of glucose-lowering agents in non-diabetic individuals. Notably, hypoglycemia in the...
273