FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

MATERNAL CARE AND MORTALITY CONTROL IN NIGERIA USING KNOWLEDGE DISCOVERY IN DATABASE (KDD)
Pages: 513-519
Agu, Edward Onyebueke(Ph.D); Omankwu, Obinnaya Chinecherem (Ph.D) and Ngene, Chigozie Chidimma(Ph.D)


keywords: knowledge discovery in database (KDD; Maternal, Mortality, Model

Abstract

Maternal mortality monitoring model using knowledge discovery in databases (KDD)is an important indicator of a nation’s health care delivery system and the level of the society’s development. Previous efforts to meet the Millennium Development Goals (MDGs) on the reduction of maternal mortality in Nigeria have shown only marginal reductions in the last five years, making the MDGs targets by 2020 clearly unachievable using current strategies alone (Mid-Point Assessment Overview, MDGs Nigeria, 2008), hence this study; The methodology adopted for this study is Object-oriented analysis and design methodology that starts with understanding the domain, locating proper data sources, preparing the raw data, applying advanced analysis techniques, and extracting and validating the resulting knowledge from a quality registry for maternal mortality. The results will be to develop an integrated IT solution that is suitable for Nigeria, focused on the maternity care conditions and control the rate of maternal mortality in Nigeria using knowledge discovery in database (KDD).

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Highlights