Name
Abstract | ||
|---|---|---|
In this paper, we propose a web-based interactive interface to show medical data analysis results by C4.5, where the physicians can easily confirm or correct medical data and analysed results. It can estimate health levels of medical data where health levels are not labelled, which can be referred to for medical diagnosis support. It demonstrates the possibilities of the chance discovery process, which enables the discovery of hidden or rare but very important relationships (chances) in a medical diagnosis support. We discovered models which are important for determining health levels but cannot be extracted during a machine learning process. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJAIP.2010.030540 | IJAIP |
Keywords | Field | DocType |
web-based interactive interface,health level,medical diagnosis support,medical data analysis result,correct medical data,analysed result,chance discovery process,important relationship,medical data,data mining,healthcare,medical diagnosis | Data science,Health care,Computer science,Medical algorithm,Web based interface,Business process discovery,Medical diagnosis | Journal |
Volume | Issue | Citations |
2 | 2/3 | 2 |
PageRank | References | Authors |
0.52 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akinori Abe | 1 | 108 | 30.05 |
| Norihiro Hagita | 2 | 2877 | 259.10 |
| Michiko Furutani | 3 | 25 | 4.29 |
| Yoshiyuki Furutani | 4 | 24 | 3.60 |
| Rumiko Matsuoka | 5 | 25 | 4.29 |