DocumentCode
3746226
Title
An interactive healthcare system with personalized diet and exercise guideline recommendation
Author
Jerry C.C. Tseng;Bo-Hau Lin;Yu-Feng Lin;Vincent S. Tseng;Miin-Luen Day;Shyh-Chyi Wang;Kuen-Rong Lo;Yi-Ching Yang
Author_Institution
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan (R.O.C.)
fYear
2015
Firstpage
525
Lastpage
532
Abstract
Recently people pay more and more attention on how to effectively and efficiently analyze the result of regular physical examinations to provide the most helpful information for individual health management. In this paper, we design and develop an interactive system of virtual healthcare assistant to help people, especially for those who suffer from chronic diseases (e.g., metabolic syndrome) to easily understand their health conditions and then well manage it. This system analyzes the result of regular physical examination to evaluate the health risk and provide personalized healthcare services for users in terms of diet and exercise guideline recommendations. We developed some interactive ways for users to easily feedback their vital signs to the system and quickly get the suggestions for health management from the system. Besides the browser-based system, we also developed a mobile App that can regularly remind users to carry out the recommendations, which are provided by the system. To prove the system is feasible in the real-world clinical environment, we also applied the Institutional Review Board (IRB) for a human subject research to validate this system. Other than the functional features, there are also several important non-functional features of the extensibility and the convenience for use. First, we use the physical examination result as the raw data to be analyzed. It´s very convenient for users with very low cost. Second, the system design is extendable, so it can be easily adjusted to work for any chronic ills, even other kinds of diseases. Moreover, it can be extended to provide other kinds of healthcare guideline recommendations as well. These features constitute the main contributions of this work.
Keywords
"Guidelines","Diseases","Real-time systems","Physiology","Databases","Cities and towns"
Publisher
ieee
Conference_Titel
Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on
Electronic_ISBN
2376-6824
Type
conf
DOI
10.1109/TAAI.2015.7407106
Filename
7407106
Link To Document