Evaluation of Glucose Concentration in the Stream and Effects of Psychological Stress on Diabetes Management using Data Science

Diabetes is a condition that affects the way your body converts food into energy. When the sugar level increases, it indicates that the pancreas is releasing insulin. The first glucose speculation model was developed that combined physical activity measurements with severe mental stress to improve GC predictive accuracy. The effects of physical activity and severe stress on glucose levels will improve diabetes management and empower knowledgeable diet, function, and insulin dose decisions. Glucose concentration levels are influenced by a variety of physical and metabolic variables, such as physical activity (PA) and severe stress (APS), in addition to diet and insulin. Today machine learning model is used in the health care system where there is a possibility to predict the disease at the earliest. A key requirement of Artificial intelligence is data processing. A database is collected, and it is analysed with machine learning for constant and bivariate analysis. The data is displayed to understand the features and is since the division model is constructed using a machine learning algorithm and comparisons of algorithms are made based on their performance criteria such as precision, F1 score memory etc.