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Diabetes is a common disease, and one in which the patient has to undergo many lifestyle changes. In this paper we propose a model in which fuzzy logic can be used to determine the amount of insulin to be dosed to a diabetic, without the person having to calculate the same every half hour. Such systems have already been proposed, and we have worked based on already existing papers. This system uses...
Regression analysis and statistical hypothesis testing are commonly used for association and classification of clinical data sets in medical studies. Although such traditional techniques are wildly used, they have several shortcomings. For example, when analyzing datasets with a large number of temporal attributes, domain experts often miss important associative attributes in regression analysis because...
The U.S. Department of Health and Human Services human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) treatment guidelines are modified several times per year to reflect the rapid evolution of the field (e.g., emergence of new antiretroviral drugs). As such, a treatment- decision support system that is capable of self-learning is highly desirable. Based on the fuzzy discrete...
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