Importance: The lesbian, gay, bisexual, transgender, queer, intersex, asexual, and other dissident gender and sexuality (LGBTQIA+) population is prone to experiencing violence and social deprivation. Although occupational therapy research and practice has addressed populations experiencing various forms of discrimination, few studies have focused on the LGBTQIA+ population as an area of concern.
Objective: To map, characterize, and analyze peer-reviewed journal articles related to the LGBTQIA+ population in the occupational therapy literature.
Hospitals generate large amounts of data on a daily basis, but most of the time that data is just an overwhelming amount of information which never transitions to knowledge. Through the application of Data Mining techniques it is possible to find hidden relations or patterns among the data and convert those into knowledge that can further be used to aid in the decision-making of hospital professionals. This study aims to use information about patients with diabetes, which is a chronic (long-term) condition that occurs when the body does not produce enough or any insulin.
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