Date of Award
12-2021
Document Type
Project
Degree Name
Master of Science in Information Systems and Technology
Department
Information and Decision Sciences
First Reader/Committee Chair
Mohabbati, Nasrin
Abstract
The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch are presented in this research. Along with IoT in smart healthcare, Health Recommender Systems integration with IoT is important. Main Recommender Systems including Content-based filtering, Collaborative-based filtering, Knowledge-based filtering, and Hybrid filtering with machine learning algorithms are described for the Health Recommender Systems. In this study, a framework is presented for the IoT-based Health Recommender Systems. Also, a case is investigated on how different algorithms can be used for Recommender Systems and their accuracy levels are presented. Such a framework can help with the health issues, for example, risk of going to see the doctor during pandemic, taking quick actions in any health emergencies, affordability of healthcare services, and enhancing the personal lifestyle using recommendations in non-critical conditions. The proposed framework can necessitate further development of IoT-based Health Recommender Systems so that people can mitigate their medical emergencies and live a healthy life.
Recommended Citation
Yang, Moonkyung, "INTEGRATION OF INTERNET OF THINGS AND HEALTH RECOMMENDER SYSTEMS" (2021). Electronic Theses, Projects, and Dissertations. 1378.
https://scholarworks.lib.csusb.edu/etd/1378
Included in
Artificial Intelligence and Robotics Commons, Business Analytics Commons, Business and Corporate Communications Commons, Business Intelligence Commons, Computer and Systems Architecture Commons, Databases and Information Systems Commons, Data Science Commons, Health Information Technology Commons, Management Information Systems Commons