DocumentCode
2620966
Title
Fuzzy Logic Decision Making for an Intelligent Home Healthcare System
Author
Gatton, Thomas M. ; Lee, Malrey
Author_Institution
Sch. of Eng. & Technol., Nat. Univ., San Diego, CA, USA
fYear
2010
fDate
21-23 May 2010
Firstpage
1
Lastpage
5
Abstract
The increasing trends of an aging population and the occurrence of chronic diseases, such as diabetes and dementia, present serious near-term problems in providing suitable healthcare within the existing medical system infrastructure. With the increasing number of patients, the existing healthcare systems will be overloaded and unable to effectively process the rising demand and an effective solution must be developed for the real-time response requirements of critical health situations. This paper proposes a fuzzy logic based decision making system for home health care. The proposed system can provide an innovative resource and a supplement for the existing healthcare systems. The proposed home healthcare system is implemented for diabetes management and decision making. An analysis and evaluation of the system performance are presented along with the conclusions of the research.
Keywords
decision making; diseases; fuzzy logic; geriatrics; health care; home automation; aging population; chronic diseases; diabetes management; fuzzy logic decision making; intelligent home healthcare system; medical system infrastructure; Aging; Decision making; Dementia; Diabetes; Diseases; Fuzzy logic; Intelligent systems; Medical services; Performance analysis; Real time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology (FutureTech), 2010 5th International Conference on
Conference_Location
Busan
Print_ISBN
978-1-4244-6948-2
Type
conf
DOI
10.1109/FUTURETECH.2010.5482667
Filename
5482667
Link To Document