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Journal of Educational & Psychological Research(JEPR)

ISSN: 2690-0726 | DOI: 10.33140/JEPR

Impact Factor: 0.6

Using Artificial Intelligence Technology to Overcome Some Behavioral Psychological Resistance for Diabetes Patients on Controlling Their Glucose Level (GH-Method: Math-Physical Medicine & Mentality-Personality Modeling)

Abstract

Gerald C Hsu

Medical professionals use a standard test to determine the severity of type 2 diabetes (T2D) in a patient based on Hemoglobin A1C (A1C), which has two different types of glucoses. First, postprandial plasma glucose (PPG) contributes about 70%-80% of A1C, which has two major influential factors such as quality of food (carbs/sugar intake amount, ~39%) and exercise (post-meal walking, ~41%). Second, fasting plasma glucose (FPG) contributes about 20%-30% of A1C, which weight is the major influential factor (quantity of food, ~85%).

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