标题： 展示DiaData用于1型糖尿病研究 显示英文标题

标题： Presenting DiaData for Research on Type 1 Diabetes

摘要： 1型糖尿病（T1D）是一种自身免疫性疾病，会导致产生胰岛素的细胞被破坏，从而引起胰岛素缺乏，因此受影响个体依赖外部胰岛素注射。 然而，胰岛素可以降低血糖水平，并可能导致低血糖。 低血糖是血糖水平过低（$\le$70 mg/dL）的严重事件，具有头晕、昏迷或死亡等危险副作用。 数据分析可以通过识别导致不良事件的个人模式和趋势，显著提升糖尿病护理。 特别是，机器学习（ML）模型可以预测血糖水平并提供早期警报。 然而，糖尿病和低血糖研究受限于大规模数据集的不可用性。 因此，这项工作系统地整合了15个数据集，以提供一个包含2510名受试者的大型数据库，其中血糖测量每5分钟记录一次。 总共包括1.49亿次测量，其中4%表示处于低血糖范围内的数值。 此外，提取了两个子数据库。 子数据库I包含人口统计信息，子数据库II包含心率数据。 整合后的数据集在性别和不同年龄层次上具有均衡分布。 作为进一步的贡献，评估了数据质量，揭示出数据不平衡和缺失值是一个重大挑战。 此外，对血糖水平和心率数据进行了相关性研究，显示在低血糖发生前15至55分钟之间存在关联。 显示英文摘要

摘要： Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend on external insulin injections. However, insulin can decrease blood glucose levels and can cause hypoglycemia. Hypoglycemia is a severe event of low blood glucose levels ($\le$70 mg/dL) with dangerous side effects of dizziness, coma, or death. Data analysis can significantly enhance diabetes care by identifying personal patterns and trends leading to adverse events. Especially, machine learning (ML) models can predict glucose levels and provide early alarms. However, diabetes and hypoglycemia research is limited by the unavailability of large datasets. Thus, this work systematically integrates 15 datasets to provide a large database of 2510 subjects with glucose measurements recorded every 5 minutes. In total, 149 million measurements are included, of which 4% represent values in the hypoglycemic range. Moreover, two sub-databases are extracted. Sub-database I includes demographics, and sub-database II includes heart rate data. The integrated dataset provides an equal distribution of sex and different age levels. As a further contribution, data quality is assessed, revealing that data imbalance and missing values present a significant challenge. Moreover, a correlation study on glucose levels and heart rate data is conducted, showing a relation between 15 and 55 minutes before hypoglycemia.