Development of a data warehouse for Lymphoma cancer diagnosis and treatment decision support

Authors:
Teh Ying Wah;Ong Suan Sim
Affiliations:
Department of Information Science, Faculty of Computer Science and Information Technology, University Malaya, Kuala Lumpur, Malaysia;Department of Information Science, Faculty of Computer Science and Information Technology, University Malaya, Kuala Lumpur, Malaysia
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2009

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Abstract

Data warehousing is becoming an indispensable component in data mining process and business intelligence. Data warehouses often act as a data collector, data integrator and data provider in the data mining process. This paper reviews the development and use of a clinical data warehouse specific to the Lymphoma or Lymph Node cancer, which could be used by doctors, physicians and other health professionals, in conjunction with a Clinical Decision Support System (DSS), to support the clinical process as well as to formulate the appropriate model to improve the quality of diagnosis and treatment recommendation decision making. This paper proposes a 5-stage sequential methodology for the clinical data warehouse development. Research on the evaluation of the developed data warehouse and how it would support the data mining process will be discussed in a separate paper.