TY - GEN
T1 - An interactive healthcare system with personalized diet and exercise guideline recommendation
AU - Tseng, Jerry C.C.
AU - Lin, Bo Hau
AU - Lin, Yu Feng
AU - Tseng, Vincent S.
AU - Day, Miin Luen
AU - Wang, Shyh Chyi
AU - Lo, Kuen Rong
AU - Yang, Yi Ching
PY - 2016/2/12
Y1 - 2016/2/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84964285781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964285781&partnerID=8YFLogxK
U2 - 10.1109/TAAI.2015.7407106
DO - 10.1109/TAAI.2015.7407106
M3 - Conference contribution
AN - SCOPUS:84964285781
T3 - TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
SP - 525
EP - 532
BT - TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015
Y2 - 20 November 2015 through 22 November 2015
ER -