Product Platform Approach to Personalized Type 2 Diabetes Mellitus Management

摘要

Type 2 diabetes mellitus (T2DM) is one of the most common chronic disease and the seventh leading cause of death in the United States. Casting T2DM in a product platform framework, this research aims to establish the relationships between contributing factors and complications. Once the tree structure is created by analyzing the historical patient data, patients are clustered based on their complication characteristics and the contributing factors, such as age, race, blood pressure, glycemic levels, and hemoglobin levels. Along with patient clustering, treatment plans are also clustered simultaneously. This creates a mapping between patient groups and treatment groups, with one optimal treatment plan for each cluster of patients. When an individual patient's membership is determined, the association between the patient and the optimal treatment plan is automatically identified. The healthcare providers can tailor the treatment plan based on the individual's unique needs. The proposed approach is a more efficient way to treat T2DM patients than the current traditional approach. It also offers flexibility to customize the treatment plans for each individual patient without undue effort.