Name
Title | ||
|---|---|---|
Constructing an initial knowledge base for medical domain expert system using induct RDR. |
Abstract | ||
|---|---|---|
This paper describes how we build an initial knowledge-base of ripple-down rules (RDR) in medical domain. In medical domain, all decisions are made by the domain experts. Increasing a complexity of disease and various symptoms, there are some attempts to introduce an expert system in medical domain these days. To construct the expert system, it needs to extract the expertu0027s knowledge. To do that, we use ripple-down rules (RDR) which allows experts to modify their knowledge base directly because it provides a systematic approach to do that. We also use Induct RDR which builds a knowledge base from existing data to reduce expertsu0027 burden of adding their knowledge from the bottom up. The expert system should produce multiple comments from a test set, which is multiple classification problem. However, Induct RDR only deals with a single classification problem. To handle this problem, we divide a test set into 18 categories which is almost the single classification problem and apply Induct RDR to each category independently. Using this approach, we can improve the missing rate about 70% compared to an approach not dividing into several categories. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/BIGCOMP.2016.7425958 | BigComp |
Keywords | Field | DocType |
expert systems,medical administrative data processing,pattern classification,induct RDR,initial knowledge base,medical domain expert system,multiple classification problem,ripple-down rules,systematic approach,induct RDR,knowledge base,medical domain,multiple classification problem,ripple-down rules | Ripple-down rules,Subject-matter expert,Computer science,Expert system,Knowledge engineering,Artificial intelligence,Knowledge base,Machine learning,Maintenance engineering,Legal expert system,Test set | Conference |
ISSN | Citations | PageRank |
2375-933X | 2 | 0.39 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonghwan Hyeon | 1 | 3 | 2.12 |
| KyoJoong Oh | 2 | 25 | 10.03 |
| You Jin Kim | 3 | 4 | 1.10 |
| Hyunsuk Chung | 4 | 14 | 4.23 |
| Byeong Ho Kang | 5 | 541 | 72.76 |
| Ho-Jin Choi | 6 | 280 | 53.61 |