Journal of Computer & Information Technology

Prediction of Therapeutic Diet for Obese Subjects Based on Economic Status using Data Mining Techniques

Author:
Rashmi Tiwari1, Abha Wadhwa2 and Anjana Mishra3
Affiliation:

1,3Govt Narmada P.G.College Hoshangabad India

2Govt. Home Sciene P.G. College Hoshangabad India

Keyword:
Data Mining, Data Mining Techniques, Diet Therapy, Clustering, Association Rule, Universal Set, Therapeutic diet
Issue Date:
December 2010
Abstract:
In our society people are suffering from obesity. The data related to patient is very large, therefore the need for efficient management of data was felt. The treatment of diseases is a vital and difficult job in medicine. The different types of therapies prevailing in our society emphasize on n types of suggestions. Among these diet therapy is most relevant therapy and it also deals with large databases, so using different Data Mining techniques like - classification, predictive data modeling, an association rule, clustering. Among which clustering technique is used for the classification of similar data in one group and dissimilar data in different groups. First grouping is accomplished by finding similarity between data according to the economic status characteristics of the actual patient data . These groups are the clusters of low, moderate and high. This paper focuses on the diet prediction based on economic status of Indian Society for obese subjects18 by correlating diet nutrients to different sections according to their financial capabilities.
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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Available from: http://www.compitjournal.org/paper/306/

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