A Nutritional Recommender System for Rehabilitation of NCD’s by Using Data Mining Techniques

IJARCSSE

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Field Value
 
Title A Nutritional Recommender System for Rehabilitation of NCD’s by Using Data Mining Techniques
 
Creator Surya, B. Sri
Rani, P. R. Sudha
 
Description Non Communicable or Chronic diseases tend to be long duration and are the results of a combination of genetic, phsycological, environmental and behaviour factors. About 41 million people died from NCD’s each year, which is equivalent to 70% of the global death toll. In many high-income countries, standard care for the long term management of NCD’s include Rehabilitation. So, in this paper I proposed that suitable Nutritional Diets play an important role in maintaining health, rehabitating the NCD’s and preventing the occurrence of NCD’s. For this purpose, I worked on a novel frame work named NutIngredientFood, which models the relationship between the Ingredients and their Proportions within food for the purpose of offering healthy recommendations.  Specifically, NutIngredientFood consists of three main components: 1) using an embedding based ingredient predictor to predict the relevant ingredients with user-defined initial ingredients(Ingredient Predictor), 2) predicting the amounts of the relevant ingredients(Amount Predictor), 3) creating a healthy pseudo-NutIngredient with a list of ingredients and their amounts according to the nutritional information and recommending the top similar nutritional ingredients with the pseudo-Nut Ingredient.
 
Publisher International Journal of Advanced Research in Computer Science and Software Engineering
 
Contributor
 
Date 2019-10-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijarcsse.com/index.php/ijarcsse/article/view/1067
10.23956/ijarcsse.v9i9.1067
 
Source International Journal of Advanced Research in Computer Science and Software Engineering; Vol 9, No 9 (2019): September 2019; 1-6
2277128X
22776451
10.23956/ijarcsse.v9i9
 
Language eng
 
Relation http://ijarcsse.com/index.php/ijarcsse/article/view/1067/621
 
Rights Copyright (c) 2019 International Journal of Advanced Research in Computer Science and Software Engineering
 

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