Hossana College of Health Sciences,
Ethiopia
Research Article
Application of Data Mining Techniques to Discover Cause of Under- Five Children Admission to Pediatric Ward: The Case of Nigist Eleni Mohammed Memorial Zonal Hospital
Author(s): Temesgen Dileba KaleTemesgen Dileba Kale
Abstract Background: Data mining has ability to extract useful knowledge that is hidden in huge data. Health care system is potential area to apply and take the advantage of data mining. The causes of child illnesses and admissions to hospitals that utilize the scarce resource in sub-Saharan region were easily preventable. Higher priority was given for prevention and control of these diseases at community level. However, for seriously ill children admissions should be facilitated in order to save the life of the child. Therefore, the purpose of this study was to apply data mining techniques on underfive children dataset in developing a model that support the discovery of the causes for under-five children admission to pediatric ward. Methodology: The six-step cross industry standard process for data mining model was applied. Decision tree and artificial neural network algorithms were .. Read More»
DOI:
10.4172/2157-7420.1000178
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report