Research Article
A Survey on IOMT based Food Recommendation System
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 184 - Issue 25 |
| Published: Aug 2022 |
| Authors: Shridevi Soma, Sushmita Dyapur |
10.5120/ijca2022922307
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Shridevi Soma, Sushmita Dyapur . A Survey on IOMT based Food Recommendation System. International Journal of Computer Applications. 184, 25 (Aug 2022), 41-45. DOI=10.5120/ijca2022922307
@article{ 10.5120/ijca2022922307,
author = { Shridevi Soma,Sushmita Dyapur },
title = { A Survey on IOMT based Food Recommendation System },
journal = { International Journal of Computer Applications },
year = { 2022 },
volume = { 184 },
number = { 25 },
pages = { 41-45 },
doi = { 10.5120/ijca2022922307 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2022
%A Shridevi Soma
%A Sushmita Dyapur
%T A Survey on IOMT based Food Recommendation System%T
%J International Journal of Computer Applications
%V 184
%N 25
%P 41-45
%R 10.5120/ijca2022922307
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Many individuals are affected with numerous ailments and diseases in today's globe. As a general rule, it is quite difficult to recommend a diet rapidly. AI-based medical information systems have potential to extend human life expectancy, prevent additional sickness, as well as enhance general health. Recommendation system for patients monitors a person health in a systematic approach. Considering patient health, monitoring their health conditions and providing the solution instantly are the biggest challenges. Some of the researchers have carried out their work on monitoring a user health by considering users body nutrition values, some of the researchers build a system as per the user preferences. Some of the researchers have considered IOMT data to build a food recommendation system. Using these recommended systems encourage people to maintain good diet and health.
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