Name
Title | ||
|---|---|---|
The medical diagnostic support system using extended Rough Neural Network and Multiagent |
Abstract | ||
|---|---|---|
Multiagent technologies enable us to explore their sociological and psychological foundations. Amedical dignostic support
system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out
using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagents
learning method into the usual Neural Network and a Rough Neural Network and Genetic Programming be compared. The data of
the prostates cancer offered by the medical institution and a renal cancer was used for verification of a system. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s10015-008-0543-3 | Artificial Life and Robotics |
Keywords | DocType | Volume |
neural network | Journal | 13 |
Issue | ISSN | Citations |
1 | 1614-7456 | 1 |
PageRank | References | Authors |
0.38 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daisuke Yamaguchi | 1 | 1 | 1.39 |
| Fumiyo Katayama | 2 | 1 | 0.38 |
| Muneo Takahashi | 3 | 6 | 2.17 |
| Masataka Arai | 4 | 1 | 0.38 |
| Kenneth J. Mackin | 5 | 16 | 11.34 |