Telederm: Enhancing Dermatological Diagnosis for Rural and Remote Communities

Authors:
Monica H. Ou;Geoff A. W. West;Mihai Lazarescu;Chris Clay
Affiliations:
Curtin University of Technology, Australia;Curtin University of Technology, Australia;Curtin University of Technology, Australia;Royal Perth Hospital, Australia
Venue:
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Year:
2006

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Evaluation of TELEDERM for dermatological services in rural and remote areas

Artificial Intelligence in Medicine

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Abstract

This paper describes techniques used in a Web-based decision support system to enhance dermatological diagnosis for rural and remote communities. We proposed a technique to improve the query representation and shorten the length of the query process, and a knowledge validation technique to help the domain expert supervise and maintain a consistent knowledge base. Experiments were conducted to test the effectiveness of each technique. Results indicated that the new querying technique improves a decision tree query approach. In addition, the results showed that supervised knowledge updating can improve the identification and handling of ambiguous cases to produce 100% correct classification.