Type 2 Diabetes is a chronic disease that is a major health concern across the globe. The number of people with diabetes has risen drastically in the last few decades. The disease is not only a huge financial burden but also a major cause of blindness, kidney failure, heart attacks, stroke, and lower limb amputation. The WHO projects that diabetes will be the seventh leading cause of death in 2030.
In this POC, we are attempting to predict T2D from the laboratory results captured for a patient. We are using a National Health and Nutrition Examination Survey (NHANES) to predict Type 2 Diabetes from laboratory test results data.
In the POC, we are using medications and labs data. The medications data contains diagnostics details where we select the patients with T2D. The labs data includes laboratory measures that will be our predictors. We are using AdaBoost to train the model and rank the most predictive features.