Recommendation of Diet to Jaundice Patient on the Basis of Nutrients Using AHP and Fuzzy AHP Technique

@article{Saini2017RecommendationOD,
  title={Recommendation of Diet to Jaundice Patient on the Basis of Nutrients Using AHP and Fuzzy AHP Technique},
  author={Shubhanshi Saini and Sanjay Kumar Dubey},
  journal={International Journal of Intelligent Engineering and Systems},
  year={2017},
  volume={10},
  pages={91-99}
}
  • S. Saini, S. Dubey
  • Published 31 August 2017
  • Medicine
  • International Journal of Intelligent Engineering and Systems
Jaundice is a disease caused due to alarmingly high level of bilirubin. This prevails in places with low level of sanitation and inability to access nutrient enriched diet. In the Indian perspective, jaundice is a severe menace affecting many people including infants, ladies and men. To cure jaundice, the bilirubin levels need to be lowered which can be done by a proper diet incorporating multiple critical nutrients in right proportion along with medication. This makes it an incredibly complex… 

Tables from this paper

Diet Recommendation for Hypertension Patient on basis of Nutrient using AHP and Entropy
TLDR
The paper shows the finest diet plan for hypertension patient using Analytic Hierarchy process, which considers all the meals needed to be consumed by hypertension patient in breakfast, lunch and dinner.
Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model
TLDR
A deep learning solution for health base medical dataset that automatically detects which food should be given to which patient base on the disease and other features like age, gender, weight, calories, protein, fat, sodium, fiber, cholesterol is proposed.
THE CONSTRUCTION OF PUBLIC SPORTS SERVICE GUARANTEE SYSTEM IN A HEALTHY COMMUNITY IN THE BACKGROUND OF PUBLIC HEALTH
ABSTRACT Community sports are a very important part of urban public service. It directly affects the quality of life of residents and plays an important role in improving the health level of the
Blockchain-Secured Recommender System for Special Need Patients Using Deep Learning
TLDR
The proposed blockchain privacy system (BPS) allows patients to get notifications about recommended treatments and medications based on their personalized data without revealing their confidential information and is outstanding as none of the earlier revised works of literature described a recommender system of this kind.

References

SHOWING 1-10 OF 12 REFERENCES
Designing Fuzzy Algorithms to Develop Healthy Dietary Pattern
TLDR
Using fuzzy logic provides an elegant mathematical solution for finding the optimum point of food groups in dietary pattern and met most recommended nutrient intake levels except for potassium and vitamin E, which were estimated at 98% and 69% of the dietary reference intake.
Development of a Fuzzy Expert System for a Nutritional Guidance Application
TLDR
This paper presents a fuzzy expert system for a nutritional guidance application using a Mamdani-type fuzzy system and the results from the validation schemes are promising.
Study of Diet Recommendation System based on Fuzzy Logic and Ontology
TLDR
Different existing diet recommendation approaches studies based on fuzzy approaches and ontology and knowledge representation methods are proposed, and a method to recommend diet based on prakriti of person and current season is proposed.
Dietary recommendation based on recipe ontology
TLDR
A recipe ontology is constructed that defines various food nutrients needed for healing some common diseases, and an inference engine that can, given the user's health conditions as well as his/her preferences, recommend a proper recipe based on the recipeOntology is built.
Application of Fuzzy Logic in Diet Therapy - Advantages of Application
TLDR
In this work the daily recommendations as crisp numbers are modelled as fuzzy sets and the daily recommended intake is “softened” by introduction of membership function of fuzzy sets defined for each individual nutrient.
Fuzzy Nutrition System
TLDR
A fuzzy logic diet journaling system based on the premise that food intake is a control system with food recommendations is proposed and two methods for nutritional feedback, one fuzzy and the other crisp, are compared.
A Type-2 Fuzzy Ontology and Its Application to Personal Diabetic-Diet Recommendation
TLDR
The experimental results show that the proposed approach can work effectively and that the menu can be provided as a reference for the involved diabetes after diet validation by domain experts.
Introduction to fuzzy arithmetic : theory and applications
TLDR
This book introduced many novel mathematical operations based on this concept of level of confidence and have presented many generalizations, and presented several operations and functions of fuzzy numbers, such as integer modulo operations, trigonometric functions, and hyperbolic functions.
Decision making with dependence and feedback
...
...