Diabetes Dataset

This dataset provides an extensive overview of various types of diabetes, including Steroid-Induced Diabetes, Neonatal Diabetes Mellitus (NDM), Prediabetes, Type 1 Diabetes, and Wolfram Syndrome. It includes a wide range of medical, genetic, and lifestyle attributes that are important for understanding the factors contributing to diabetes.

Key Features:
Target: The type of diabetes or prediabetic condition.
Genetic Markers: Indicators of genetic predisposition to diabetes.
Autoantibodies: Presence of autoantibodies commonly associated with autoimmune diabetes.
Family History: Information on whether there is a known family history of diabetes.
Environmental Factors: Details about environmental influences that may contribute to diabetes.
Insulin Levels: Measured insulin levels in patients.
Age and BMI: Demographic information including age and Body Mass Index.
Physical Activity and Dietary Habits: Lifestyle factors that could influence diabetes risk.

本数据集对多种类型的糖尿病进行了广泛的概述，包括类固醇诱导型糖尿病、新生儿糖尿病综合征（NDM）、糖尿病前期、1型糖尿病和沃尔夫曼综合征。它包含了广泛的医学、遗传和生活方式属性，对于理解导致糖尿病的因素至关重要。

关键特性：
目标：糖尿病或糖尿病前期条件类型。
遗传标志物：糖尿病遗传易感性的指标。
自身抗体：与自身免疫性糖尿病相关联的自身抗体的存在。
家族史：关于是否存在已知糖尿病家族史的资料。
环境因素：可能有助于糖尿病的环境影响因素的详细信息。
胰岛素水平：患者测量的胰岛素水平。
年龄和BMI：包括年龄和身体质量指数在内的人口统计学信息。
身体活动和饮食习惯：可能影响糖尿病风险的生活方式因素。