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Fuzzy Nutrition Recommendation System for Diabetic Patients

机译：糖尿病患者的模糊营养推荐制度

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Till 2013, the total number of patients suffering from Diabetes Mellitus reached a total of 382 Million. There is a significant growth from 4.7% in 1980 to 8.5% in 2014 as per the World health organization. Diabetes is not a new word to world now days. It has become a major health problem irrespective of the age group the people belong to. Not just it, most of the times Diabetes is accompanied with other ailments like Hypertension, blood pressure etc. All the researchers, Doctors and Practitioners have a unanimous accord to one fact that Diet plays the most significant role in the cause as well as curb of diabetes. All the fuzzy systems developed so far have given a suitable diet recommendation system or a system for detection and Diagnosis of diabetes. Citing the role of diet to curb the harmful effects of diabetes in the patients, there was a need to come up with a Fuzzy diet recommendation system which is specific to the Diabetes and the diabetic patients and not a diet recommendation system in general. Essentially, the diet of a healthy person should be a lot different from the one suffering from diabetes. The paper uses fuzzy logic to analyze to present a suitable diet recommendation system for the patients suffering from Diabetes.
机译：到2013年，患有糖尿病患者的患者总数达到3.82亿。根据世界卫生组织，1980年的4.7％达到了4.7％的显着增长率为8.5％。糖尿病现在不是世界上的新词。无论人民所属的年龄组，它已成为一个主要的健康问题。不仅仅是它，大多数时代糖尿病都伴随着高血压，血压等的其他疾病。所有的研究人员，医生和从业者都有一个事实，饮食在原因中发挥最大的作用以及遏制的事实糖尿病。到目前为止所开发的所有模糊系统都给出了合适的饮食推荐系统或用于检测和诊断糖尿病的系统。引用饮食的作用来抑制糖尿病患者的有害影响，需要提出一种模糊饮食推荐系统，该系统特异于糖尿病和糖尿病患者，而不是饮食推荐系统。基本上，健康人的饮食应该是与患有糖尿病的饮食不同。本文采用模糊逻辑分析为患有糖尿病患者的患者提供适当的饮食推荐系统。

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