How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌
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Exploring the Complications Beyond Type 2 Diabetes: What You Should Know

Exploring the Complications Beyond Type 2 Diabetes: What You Should Know
Heart disease is a major concern for individuals with type 2 diabetes. It is a leading cause of death among those with the condition. While high blood sugar levels are the hallmark of type 2 diabetes, the impact of the disease on the cardiovascular system cannot be ignored. In this feature, explore the complications beyond type 2 diabetes that you should know. 
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How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes

Type 2 diabetes is a chronic disease that affects millions of people around the world, leading to long-term health complications such as heart disease, nerve damage, and kidney failure. The early diagnosis of type 2 diabetes is critical in order to prevent these complications, and machine learning is helping to revolutionize the way this disease is diagnosed.
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How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes

Type 2 Diabetes: Recent Guidelines for Cardiovascular Risk Reduction
Type 2 Diabetes: Recent Guidelines for Cardiovascular Risk Reduction

Recent Guidelines for Cardiovascular Risk Reduction in Patients With Type 2 Diabetes have been established to help control the risks associated with this chronic condition. These guidelines are focused on reducing the risk of heart attack, stroke, and other cardiovascular diseases (CVDs) through lifestyle changes and medications.
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