Neuro-Fuzzy Diagnosis and Prediction Web-Centric Expert System Telehealth HL7 Standard
Institute of Information Theories and Applications FOI ITHEA
This paper presents a Web-Centric  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 .