Modern healthcare should include artificial intelligence (AI) technologies for disease
identification and monitoring, particularly for chronic conditions, including heart, diabetes …

Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to
prevent severe complications. While accurately predicting diabetes onset or progression …

Diabetes mellitus (DM) represents a major global health challenge, affecting a diverse range
of demographic populations across all age groups. It has particular implications for women …

Background Identification of patients at risk for type 2 diabetes mellitus (T2DM) can not only
prevent complications and reduce suffering but also ease the health care burden. While …

Chronic diseases, such as diabetes, cause serious challenges worldwide due to their long-
lasting effect on health and quality of life. Diabetes, considered a high glucose level …

Diabetes is a globally dangerous disease characterized by decreased insulin levels and
increased blood sugar which causes significant health risks and requires careful …

Globally, diabetes mellitus is the most dangerous disease and it is important to predict
disease at an early stage to treat the disease. The learning-based algorithms play a …

Validation of Clinical Risk Model to Predict Future Diabetes Page 1 1/2 https://jkms.org The
prevalence of diabetes remains high and growing worldwide.Efforts to identify risk factors to …

The Prediabetes impacts one in every three individuals, with a 10% annual probability of
transitioning to type 2 diabetes without lifestyle changes or medical interventions. It's crucial …

Currently a very relevant problem is diabetes, this disease is the cause of thousands of
deaths and tends to grow in the coming years. The objective of the present research is to …