  Diabetes is considered a lifestyle disease and a well managed self-care plays
an important role in the treatment. Clinicians often conduct surveys to
understand the self-care behaviors in their patients. In this context, we
propose to use Self-Organising Maps (SOM) to explore the survey data for
assessing the self-care behaviors in Type-1 diabetic patients. Specifically,
SOM is used to visualize high dimensional similar patient profiles, which is
rarely discussed. Experiments demonstrate that our findings through SOM
analysis corresponds well to the expectations of the clinicians. In addition,
our findings inspire the experts to improve their understanding of the
self-care behaviors for their patients. The principle findings in our study
show: 1) patients who take correct dose of insulin, inject insulin at the right
time, 2) patients who take correct food portions undertake regular physical
activity and 3) patients who eat on time take correct food portions.
