The week's pick
Reseach Article
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.
References
- Celestine Iwendi,Joseph Henry Anajemba “Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model” In IEEE . Special section on deep learning algorithms for internet of medical things. Volume 8- 2020.
- Xing Dong Wu, Chaoliu, Lijun Wang, Muhammad Bilal “Internet of things-enabled real-time health monitoring system using deep learning”. 15 septemer2021,springer.
- Sandeep Telkar, Nasreen Taj, Firoz Khan “Monitoring of Elderly/Blind Patients Health Remotely Through Wearable Sensors”. International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 7, Issue 9, September 2020.
- Honey Pandey,S.Prabha “Smart Health Monitoring System using IOT and Machine Learning Techniques”. August 27,2020 , IEEE Xplore.
- K. Hari Kishore, K.V.Surendra Nath,Kvn Harikrishna, D. Pavan Kumar “IOT Based Smart Health Monitoring Alert Device”. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-6S, April 2019.
- AbhaykumarSahoo,Chittaranjan Pradhan “DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering” Computation 2019, 7, 25; doi:10.3390/computation7020025.
- PratikshaAshok.Naik“ Intelligent Food Recommendation System Using Machine Learning”. Volume 5, Issue 8, August – 2020 International Journal of Innovative Science and Research Technology . ISSN No:-2456-2165 .
- C. Chensi, L. Feng, T. Hai, S. Deshou, S. Wenjie, L. Weizhong, Z. Yiming, B. Xiaochen, and X. Zhi, Deep learning and its applications in biomedicine,‟‟ Genomics Proteomics Bioinf., vol. 16, no. 1, pp. 17– 32, 2018.
- S. Norouzi, A. K. Ghalibaf, and S. Sistani, A mobile application for managing diabetic patients‟nutrition: A foodrecommendersystem,‟‟Arch. Iranian Med., vol. 21, no. 10, pp. 466–472, 2018.
- M. Raut, K. Prabhu, R. Fatehpuria, S. Bangar, and S. Sahu, A personalized diet recommendation system using fuzzy ontology,‟‟ Int. J. Eng. Sci. Invention, vol. 7, no. 3, pp. 51–55, 2018.
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