Construction of a Datamart and knowledge extraction using the decision tree application to medical data

Research Article

Construction of a Datamart and knowledge extraction using the decision tree application to medical data

Richard KANGIAMA

Corresponding Author : Richard KANGIAMA

Department of Basic Sciences, Faculty of Oil and Gas, University of Kinshasa, Democratic Republic of the Congo.

Email ID : richard.kangiama@gmail.com

Received : 2020-04-04 Accepted : 2020-05-01 Published : 2020-05-01

Abstract : Our contribution relates to the implementation of a DataMart, finally to carry out a study on the influence of the prenatal factors which contribute to the birth of the children, We took the case of the maternity of the Saint Joseph Hospital (during 2011, 2012) on the basis of prenatal consultation and other vital factors as well as the birth conditions of the children. We started by collecting the data in the different registers and building a data source in Excel. Then, we created our operational database in Access, and then build our mini data warehouse, based on the results of the data. We used extraction and data mining software which is SPAD to highlight the parameter which influences the weight of children at birth for example and other variables.

Keywords : DataMart, Data mining, Datamart, Data warehouse.

Citation : Richard KANGIAMA (2020). Construction of a Datamart and knowledge extraction using the decision tree application to medical data, J. of Advancement in Medical and Life Sciences. V7I4.01. DOI : 10.5281/zenodo.3780416

Copyright : © 2020 Richard KANGIAMA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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