electricsheepafrica/african-diabetes-dataset

非洲糖尿病综合数据集（T2DM + GDM）是一个用于预测撒哈拉以南非洲地区2型糖尿病和妊娠糖尿病的合成数据集。数据集考虑了已知的危险因素，包括肥胖、家族史、既往妊娠糖尿病、身体活动不足和高血压等。该数据集旨在帮助进行人口筛查、城市高风险人群的识别、妊娠糖尿病的产前预测以及并发症的建模。数据集包含7个数据集，总计25,000个样本，为撒哈拉以南非洲地区糖尿病的早期筛查和预防提供了重要的数据支持。

The African Diabetes Synthetic Dataset (T2DM + GDM) is a synthetic dataset designed for predicting Type 2 Diabetes Mellitus (T2DM) and Gestational Diabetes Mellitus (GDM) in Sub-Saharan Africa. It incorporates established risk factors and clinical parameters, and is intended for population screening, urban high-risk cohort identification, antenatal GDM prediction, and complication modeling. The dataset includes seven configurations with a total of 25,000 samples, aiming to support early screening and prevention of diabetes in Sub-Saharan Africa.