As of 2022, there are nearly 130 million people with diabetes in China. The causes of diabetes in China are affected by various factors, such as lifestyle, aging, urbanization, and family inheritance. At the same time, diabetic patients tend to be younger.

Diabetes can lead to cardiovascular, renal, and cerebrovascular complications. Therefore, accurate diagnosis of individuals with diabetes is of great clinical significance. Early genetic risk prediction of diabetes will help prevent the occurrence of diabetes.

According to the "Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition)", the diagnostic criteria for diabetes are typical diabetes symptoms (polydipsia, polydipsia, polyphagia, unexplained weight loss) and random venous plasma glucose ≥ 11.1 mmol/ L or fasting venous plasma glucose ≥7.0mmol/L or 2h plasma glucose after oral glucose tolerance test (OGTT) loading ≥11.1mmol/L.

In this competition, you need to build a diabetes genetic risk prediction model from the training data set, and then predict whether an individual in the test data set has diabetes, and join us to help diabetic patients solve this "sweet trouble".

截至2022年，**糖尿病患者近1.3亿。**糖尿病患病原因受生活方式、老龄化、城市化、家族遗传等多种因素影响。同时，糖尿病患者趋向年轻化。

糖尿病可导致心血管、肾脏、脑血管并发症的发生。因此，准确诊断出患有糖尿病个体具有非常重要的临床意义。糖尿病早期遗传风险预测将有助于预防糖尿病的发生。

根据《**2型糖尿病防治指南（2017年版）》，糖尿病的诊断标准是具有典型糖尿病症状（烦渴多饮、多尿、多食、不明原因的体重下降）且随机静脉血浆葡萄糖≥11.1mmol/L或空腹静脉血浆葡萄糖≥7.0mmol/L或口服葡萄糖耐量试验（OGTT）负荷后2h血浆葡萄糖≥11.1mmol/L。

在这次比赛中，您需要通过训练数据集构建糖尿病遗传风险预测模型，然后预测出测试数据集中个体是否患有糖尿病，和我们一起帮助糖尿病患者解决这“甜蜜的烦恼”。