A sizeable minority of patients experienced dosing irregularities and self-treated hypoglycemia in this Canadian cohort. The data suggest that HCPs who completed the survey are aware of this and of the need to provide education and support for patients who regularly miss, mistime or reduce insulin doses. Although the desire to prevent hypoglycemic events is understandable and important, HCPs need to ensure fear of hypoglycemia does not compromise optimal diabetes management.

No abstract

Prevalence and incidence of hypoglycemia were high among insulin-treated patients with diabetes in Canada, and some patients took harmful or costly actions when they experienced hypoglycemia. Identifying the insulin-treated patients who are at greatest risk may help to reduce the incidence of hypoglycemia.

A sizeable minority of patients experienced dosing irregularities and self-treated hypoglycemia in this Canadian cohort. The data suggest that HCPs who completed the survey are aware of this and of the need to provide education and support for patients who regularly miss, mistime or reduce insulin doses. Although the desire to prevent hypoglycemic events is understandable and important, HCPs need to ensure fear of hypoglycemia does not compromise optimal diabetes management.

The aim of this paper is to compare different methods for automatic extraction of semantic similarity measures from corpora. The semantic similarity measure is proven to be very useful for many tasks in natural language processing like information retrieval, information extraction, machine translation etc. Additionally, one of the main problems in natural language processing is data sparseness since no language sample is large enough to seize all possible language combinations. In our research we experiment with four different measures of association with context and eight different measures of vector similarity. The results show that the Jensen-Shannon divergence and L1 and L2 norm outperform other measures of vector similarity regardless of the measure of association with context used. Maximum likelihood estimate and t-test show better results than other measures of association with context.