Preventive diabetic api predicts the probability for a person to be victim of diabetes in next five years. The API is built by using SVM algorithm with an accuracy of 77 percentage.
Artificial Intelligence will make it economically and physically easier for both the patients and hospitals by predicting diabetic levels ahead, which not only can avoid costs of frequent tests but also can save time. AI – powered platforms thus provide healthcare service providers and organisations an option to predict the diabetic level of patients, especially women by avoiding frequent tests. Early detection of diabetes is a giant leap in diabetes health care sector which can transform it to preventive health care of diabetes.
Real time awareness about repercussions of food intake on blood diabetic level.
General users can integrate better lifestyle habits to improve their health.
Better pregnancy care for women tailor made according to diabetes level.
Predicts probability of occurrence of diabetes in next 5 years.
Identifies BMI and suggests diet according to it.
Global Diabetes Care Devices market will reach around USD 26 billion by 2021, Artificial Intelligence powered diabetes prediction API as a preventive tool can cut down the cost of diagnosis by several folds. Women, especially pregnant women’s medication depends upon their diabetic level which needs frequent diabetes tests to be taken. Our vision is to replace such frequent test taking by accurate forecast of diabetic levels using AI-powered preventive diabetic API. Data acquisition for API is done by acquiring details of lifestyle including food intake, fitness regime etc. API then explores deep into the information hierarchy to learn patterns to foresee the probability of contracting diabetes.