Abstract—Clinical databases have gathered a huge amount
of information about patients and their medical conditions.
Relationships and patterns within this data could provide new
medical knowledge. Thus it is a difficult task focusing to model
a data warehouse, very often, into internal structures and
implementation applications. The aim of is project is to find the
parameters of medical data warehouse which will be able to
construct a flexible framework by analyze the approaches of
data warehouse architectures and compare them regarding the
cost and integrity. The proposed parameters may assist in
achieving continual access to the common data warehouse. The
important consideration, however, is that the clinical data
record should contain not only longitudinal health summary
information but also be used for business intelligence tool such
as data mining and OLAP.
Index Terms—Medical data warehouse, data warehouse
architecture.
The authors are with Biomedical Computing and Engineering
Technologies (BIOCORE) Applied Research Group, Universiti Teknikal
Malaysia Melaka, Melaka, Malaysia (e-mail: {mustafa, khanapi, nsuryana,
thamir}@utem.edu.my).
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Cite:Mustafa Musa Jaber, Mohd Khanapi Abd Ghani, Nanna Suryana, Mohammed Aal Mohammed, and Thamir Abbas, "Flexible Data Warehouse Parameters: Toward Building an Integrated Architecture," International Journal of Computer Theory and Engineering vol. 7, no. 5, pp. 349-353, 2015.
