The FPG blood test measures your blood glucose level at a single point in time. For the most reliable results, it is best to have this test in the morning, after you fast for at least 8 hours. Fasting means having nothing to eat or drink except sips of water.
The A1C test is a blood test that provides your average levels of blood glucose over the past 3 months. Other names for the A1C test are hemoglobin A1C, HbA1C, glycated hemoglobin, and glycosylated hemoglobin test. You can eat and drink before this test. When it comes to using the A1C to diagnose diabetes, your doctor will consider factors such as your age and whether you have anemia or another problem with your blood. The A1C test is not accurate in people with anemia.
Need professional assistance to diagnose for diabetes.
These method only predicts if you currently have diabetes.
Our process only uses DATA.
It is faster as the ML algorithm analyzes the data for you.
There is less psychological pain to the patients as they only need to do 2 hours of fasting and the glucose and insulin data is orally tested/collected.
If some data is missing maybe to due to lack of facilities which many communities face, then our ML algorithm solves that too by imputing data, however it may lead to inaccurate results.
As the ML algorithm is analyzing, it means the doctor do not have to specialize or have extensive knowledge about it . This problem is faced in my poor communities due to lack of education, therefore causing lack of healthcare facilities and experts. But our ML model solves it.
Our model calculates the probability of getting Diabetes in the next 5 years using current medical data.
We are using Random Forest Regression due to their simplicity and ability to classify binary data using many decision trees.
We are also using Deep Neural Network, because they are powerful and bring accurate results.
The modules will be chosen upon their accuracy in validation data and actual data. They will need some thorough testing in real life application.