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Index Evaluation And Research Of Diabetes Nutrition Dietary System

Posted on:2012-12-04Degree:MasterType:Thesis
Country:ChinaCandidate:K R YangFull Text:PDF
GTID:2214330368997482Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Diabetes is a non-infectious, progressive, can not completely cure the disease, it is greater dangers. Treatment of diabetes is to improve diabetes'diet and lifestyle and adjust patients'metabolic disorders, to prevent the risk of acute complications and chronic complications.Dietary therapy is the basic of clinical treatment of diabetes, in all stage of the natural history of diabetes prevention and control, it is necessary measures. In this paper,from the goals and objectives of the clinical nutrition dietary treatment of diabetes, analyze the existing diet configuration calculation, used the analytic hierarchy process, data mining technology to build one logical system model for diabetes that is a common, multiple and typical symptoms in order to calculate nutritional requirements and diabetes personalized nutritional and dietary .In this paper, it integrate the nutritional dietary therapy ,clinical theory and the existing clinical data, it used computer systems, database management, data mining and decision support technology to calculate the reasonable nutrition diet of diabetes.First of all, the results of the feasibility study and demand analysis, the use of AHP, experts rate the elements of diabetic diet health, design algorithm to calculate the weight of the various elements, to establish a system of personalized nutritional and dietary indicator system;Second, by means of data mining methods to model. On existing data, find out the law, to establish a instructive mathematical model system for the diabetic patients;Finally, it is the research basis that Chinese Nutrition Society published food composition tables (national representative value), the Chinese Nutrition Institute of recommended daily dietary supply of nutrients and hospital-based diabetes clinical medical record, combined with the actual energy needs of diabetic patients, nutrient demand and personalized features, collect the relevant data, analysis, calculation, building one personalized nutrition diet logical system model for diabetes ,which of common type and multiple disease.
Keywords/Search Tags:Diabetes Clinical Nutrition Diet Configure, Data Mining, Analytic Hierarchy Process, Personalized Indicator System
PDF Full Text Request
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