Name
Title | ||
|---|---|---|
A Clustering-Based Constructive Induction Method and Its Application to Rheumatoid Arthritis |
Abstract | ||
|---|---|---|
We present a hybrid constructive model of induction. As a benchmark we used a database of rheumatoid arthritis patients. Combining Machine Learning and Clustering algorithms we obtained clinical prediction rules. Our model creates new features thru clustering methods, improving traditional ML methods. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-48229-6_8 | AIME '87 |
Keywords | Field | DocType |
clinical prediction rule,clustering algorithm,clustering-based constructive induction method,hybrid constructive model,traditional ml method,combining machine learning,rheumatoid arthritis,new feature,rheumatoid arthritis patient,clustering,machine learning | Decision rule,Data mining,Constructive induction,Relational database,Computer science,Constructive,Rheumatoid arthritis,Artificial intelligence,Cluster analysis,Machine learning | Conference |
Volume | ISSN | ISBN |
2101 | 0302-9743 | 3-540-42294-3 |
Citations | PageRank | References |
2 | 0.39 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José A. Sanandrés | 1 | 26 | 2.34 |
| Victor Maojo | 2 | 333 | 53.22 |
| José Crespo | 3 | 126 | 24.90 |
| Agustín Gómez | 4 | 2 | 0.39 |