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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/957

Title: Telehealth Approach for Glaucoma Progression Monitoring
Authors: Ulieru, Mihaela
Grabelkovsky, Alexander
Keywords: Neuro-Fuzzy Diagnosis and Prediction
Web-Centric Expert System
Telehealth
HL7 Standard
Issue Date: 2003
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper presents a Web-Centric [3] extension to a previously developed glaucoma expert system that will provide access for doctors and patients from any part of the world. Once implemented, this telehealth solution will publish the services of the Glaucoma Expert System on the World Wide Web, allowing patients and doctors to interact with it from their own homes. This web-extension will also allow the expert system itself to be proactive and to send diagnosis alerts to the registered user or doctor and the patient, informing each one of any emergencies, therefore allowing them to take immediate actions. The existing Glaucoma Expert System uses fuzzy logic learning algorithms applied on historical patient data to update and improve its diagnosis rules set. This process, collectively called the learning process, would benefit greatly from a web-based framework that could provide services like patient data transfer and web- based distribution of updated rules [1].
URI: http://hdl.handle.net/10525/957
ISSN: 1313-0463
Appears in Collections:Volume 10 Number 3

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