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.
Citation:
Monica H. Ou, Geoff A.W. West, Mihai Lazarescu, Chris Clay, "Telederm: Enhancing Dermatological Diagnosis for Rural and Remote Communities," cbms, pp.297-302, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006