Medical data mining: knowledge discovery in a clinical data warehouse.

Journal Article (Journal Article)

Clinical databases have accumulated large quantities of information about patients and their medical conditions. Relationships and patterns within this data could provide new medical knowledge. Unfortunately, few methodologies have been developed and applied to discover this hidden knowledge. In this study, the techniques of data mining (also known as Knowledge Discovery in Databases) were used to search for relationships in a large clinical database. Specifically, data accumulated on 3,902 obstetrical patients were evaluated for factors potentially contributing to preterm birth using exploratory factor analysis. Three factors were identified by the investigators for further exploration. This paper describes the processes involved in mining a clinical database including data warehousing, data query and cleaning, and data analysis.

Full Text

Duke Authors

Cited Authors

  • Prather, JC; Lobach, DF; Goodwin, LK; Hales, JW; Hage, ML; Hammond, WE

Published Date

  • 1997

Published In

Start / End Page

  • 101 - 105

PubMed ID

  • 9357597

Pubmed Central ID

  • PMC2233405

International Standard Serial Number (ISSN)

  • 1091-8280


  • eng

Conference Location

  • United States