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A Survey on IOMT based Food Recommendation System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 25 |
| Year of Publication: 2022 |
| Authors: Shridevi Soma, Sushmita Dyapur |
10.5120/ijca2022922307
|
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
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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