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Data Mining Methods in diabetes mellitus type 2 research.
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Miroslava Nedyakova,Vasil Simeonov and Sergio Madurga
ISBN: 9786202669122
Год издания: 2020
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 112
Издательство: LAP LAMBERT Academic Publishing
Цена: 32315 тг
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Аннотация: There are many medical definitions of diabetes mellitus type 2 (DMT2) disease as a form of diabetes described by high sugar level in blood, insulin resistance, and relative lack of insulin showing typical syndromes as increased thirst, frequent urination and weight loss. It is a chronic condition related to the mechanism of glucose metabolism. It is believed that the most probable reasons causing DMT2 are obesity, genetics, and lack of physical activity. Each year 7 million people develop Diabetes and the most dramatic increases in type 2 Diabetes have occurred in populations where there have been rapid and major changes in lifestyle, demonstrating the important role played by lifestyle factors and the potential for reversing the global epidemic. A person with type 2 diabetes is 2 – 4 times more likely to get cardiovascular disease, and 80% of people with Diabetes will die from it.
Ключевые слова: DMT2 data mining statistics clinical recors data
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