Identification and Epidemiological Characterization of Non-obese Type 2 Diabetic Sub-populations in the NFHS-4 Study using an Unsupervised Machine Learning Approach

Studies on Type 2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, identification of subpopulations in epidemiological datasets remain unexplored. We here focus on the detection of T2DM clusters in epidemiological data, specifically analysing the National Family Health Survey-4 (NFHS-4) dataset containing a wide spectrum... Show more