Title :
Design of the Intelligent Real-Time Hypertensive Diagnosis Expert System Based on Web
Author :
Sheng-Hui, Dai ; Ying, Gui ; Xue-qin, Zhu
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Inst. of Technol., Fuzhou
Abstract :
Hypertension is a serious disease, which can affect the life of persons. However, access to medical care is sometimes very difficult for people living in rural and underserved areas. They have to trek long distances for a medical diagnosis. We propose a medical network based on state-of-the-art medical kiosk that addresses the problems of providing preventive and diagnostic health care. The patients can directly enter and can be screened for hypertensive with all the necessary tests that are intelligent. The intelligent real-time hypertensive diagnosis expert system runs on a Tele health server and is connected to the kiosk through the internet. Based on the symptoms, tests taken and previous history of the patient, a prescription is generated by the expert system that is also sent to a hospital where the doctor is online. Any changes required can be made by the physician in the diagnosis and prescription generated by the expert system and sent to the patient at the kiosk end as a printout. This paper presents the structure of a Web-based telehealth system employing expert system rules to detect for a fully automatic hypertension screening system.
Keywords :
Internet; diseases; health care; medical diagnostic computing; medical expert systems; real-time systems; telemedicine; Internet; Web-based telehealth system; automatic hypertension screening system; diagnostic health care; hypertension disease; intelligent real-time hypertensive diagnosis expert system; medical care; preventive health care; state-of-the-art medical kiosk; Diagnostic expert systems; Diseases; Hypertension; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Medical services; Network servers; Real time systems; Testing; Hypertension; Web-based; hypertensive expert system; kiosk; telehealth server;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.136