Diabetes Data Anslysis

The rise in early-onset diabetes has caused considerable worry among family members, especially grandparents, who often express concern about the health and well-being of the younger generation. The dataset includes documented observations of familial interactions, reflecting how diabetes impacts not only individuals but also their families. It provides insights into how families, particularly in homes where diabetes runs in multiple generations, manage routine health check-ups, blood tests, and lifestyle adjustments to cope with the disease.
This data is suitable for medical research, AI model training for disease prediction, and developing tools that can assist in early diagnosis and prevention strategies. The global nature of the data makes it versatile, offering valuable insights into different geographic and socio-economic contexts. Researchers and healthcare professionals can leverage this dataset to study the genetic, environmental, and lifestyle factors contributing to early-onset diabetes in youth and to devise more effective treatment and prevention strategies.