Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions.
Proc AMIA Symp
; : 215-9, 2000.
Article
en En
| MEDLINE
| ID: mdl-11079876
ABSTRACT
The paper presents a database of published Y chromosome deletions and the results of analyzing the database with data mining techniques. The database describes 382 patients for which 177 different markers were tested 364 of the 382 patients had deletions. Two data mining techniques, clustering and decision tree induction were used. Clustering was used to group patients according to the overall presence/absence of deletions at the tested markers. Decision trees and On-Line-Analytical-Processing (OLAP) were used to inspect the resulting clustering and look for correlations between deletion patterns, populations and the clinical picture of infertility. The results of the analysis indicate that there are correlations between deletion patterns and patient populations, as well as clinical phenotype severity.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Cromosoma Y
/
Cómputos Matemáticos
/
Bases de Datos Factuales
/
Deleción Cromosómica
Tipo de estudio:
Prognostic_studies
Límite:
Humans
/
Male
Idioma:
En
Revista:
Proc AMIA Symp
Asunto de la revista:
INFORMATICA MEDICA
Año:
2000
Tipo del documento:
Article
País de afiliación:
Eslovenia