Summary: In P. Kokol, B. Zupan, J. Stare, M. Premik & R. Engelbrecht (Eds), Medical Informatics in Europe (MIE
'99), IOS Press, Amsterdam.
Applying Data Mining in Healthcare: An Info-
Structure for Delivering `Data-Driven'
Syed Sibte Raza ABIDI
Health Informatics Research Group, School of Computer Sciences,
Universiti Sains Malaysia, 11800 Penang, Malaysia.
Abstract. Presently, there is a growing demand from the healthcare community to leverage upon
and transform the vast quantities of healthcare data into value-added, `decision-quality' knowledge,
vis-à-vis, strategic knowledge services oriented towards healthcare management and planning. To
meet this end, we present a Strategic Knowledge Services Info-structure that leverages on existing
healthcare knowledge/data bases to derive decision-quality knowledge--knowledge that is extracted
from healthcare data through services akin to knowledge discovery in databases and data mining.
Prime facie, the healthcare enterprise--say hospitals, clinics community centres, etc.--
is `data rich' but `knowledge poor'. The prevailing scenario is that IT based healthcare
systems are consistently churning out volumes of healthcare data; the data may be
superficially or partially introspected and exploited by humans for limited and visible
intents and purposes; and finally the data is stored in data warehouses either for record