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.