Title :
Web based medical decision support system for neurological diseases
Author :
Tsumoto, Shusaku
Author_Institution :
Dept. of Med. Informatics, Shimane Medical Univ., Japan
Abstract :
In early 1980s, many medical expert system were developed with knowledge bases which are acquired from medical experts, and their performance was almost as good as domain experts. However, they were not frequently used mainly due to the poor user interface and the lack in learning new knowledge. However, the solutions of these two problems have been introduced since 1990s. For the latter problem, machine learning methods have provided several solutions, and for the former problem, the rapid progress of Web technologies enables us to implement a good user interface. Furthermore, recent advances in computer resources strengthen these two solutions. We focus on the interface problem. The recent advances in Web technologies were used for an efficient interface of medical expert system. Then, the system was put on the Internet to provide an intelligent decision support in telemedicine and is now being evaluated by regional medical home doctors.
Keywords :
Internet; decision support systems; learning (artificial intelligence); medical expert systems; medical information systems; telemedicine; user interfaces; Web based medical decision support system; machine learning method; medical expert system; neurological disease; telemedicine; user interface; Decision support systems; Diagnostic expert systems; Diseases; Hospitals; Internet; Learning systems; Medical diagnostic imaging; Medical expert systems; Telemedicine; User interfaces;
Conference_Titel :
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1932-6
DOI :
10.1109/WI.2003.1241283