Knowledge Discovery in Healthcare using Data Mining

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Charles Otine, Samule Baker Kucel, Lena Trojer
Title: Knowledge Discovery in Healthcare using Data Mining
Conference name: the Conference on Collaborative Research for Technological Development
Year: 2007
City: Kampala
Organization: Blekinge Institute of Technology
Department: School of Technoculture, Humanities and Planning (Sektionen för teknokultur, humaniora och samhällsbyggnad)
School of Technoculture, Humanities and Planning S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: The exponential growth of databanks in health care creates opportunities for knowledge generation using data mining. Advancements in information and communication technologies now mean that large quantities of data collected from different sources can be easily stored, secured and retrieved for analysis using databases. For data mining to be carried out the data sets from the different interacting source systems have to be organised in a data warehouse. Data mining offers the potential for exploring hidden patterns in data sets of a particular domain in this case health care. This can eventually be used to perform diagnosis and prognosis on different patient health care condition. Furthermore it places health care providers at a more informed point by enabling predictions hence through classification enhancing generation of new knowledge. This paper provides the state-of-art on data mining and its role on knowledge discovery in the health care sector.
Subject: Technoscience Studies\General
Computer Science\General
Keywords: Database; Data mining; Data warehousing; Health care; Knowledge discovery