Abstract

A Review in Prediction of Malnutrition Status Using Data Mining Techniques

Child nutritional deficiency comes under various facts such as malnutrition, low birth weight, infant and young child feeding, iodine, and Vitamin deficiency. In recent years malnutrition is a widespread problem in global level. This research produce about the review of data mining techniques is used to predict malnutrition status of young children. The root cause of child malnutrition varies across the regions in every country because of various impacts like life style, food intake and environmental changes, maternal care and also motherhood care. The most the research, the results predict the malnutrition status using some anthropometric parameters of preschool age from 5 to under10 age of children and clinical sign parameters are considered to predict the best accuracy.


Author(s):

S.Dhivya1*, T. A. Sangeetha2



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