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
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;
Conference_Titel :
Future Information Technology (FutureTech), 2010 5th International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4244-6948-2
DOI :
10.1109/FUTURETECH.2010.5482667