Publication

Abstract : Reduction of maternal and infant mortality rates has been recognisedas one of the important goals of this century. Both coverageimprovement and inequity reduction have been set up asmillennium targets. Despite the availability of effective interventions,maternal and child healthcare conditions are not improvingin developing countries because of inefficiently functioninghealth systems. Knowledge generation about behaviors ofhealth system building blocks on the implementation of severalhealthcare interventions will help policymakers to design situation-specific and strategic interventions. A decision supportsystem has been devised incorporating data mining algorithmswhich would help to understand the condition of maternal andchild healthcare indicators; educational, socio, and economicsituations; healthcare status; and healthcare service blocksand their relationships with each other. In this paper, the designof the DSS has been discussed elaborately. To enhance a system-wide understanding of the healthcare system, all healthcare-related factors have been incorporated into this system.Three knowledge generation modules have been prepared byutilizing different visualization and data mining algorithms.