Thursday 28th of March 2024
 

Data Mining and Neural Networks II - DMX use for Risk Assessment of Complications of Arterial High Blood Pressure


Mbuyi Mukendi Eugène, Kafunda Katalayi Pierre and Mbelu Mutoba Bevi

The results obtained in our paper on data mining and neural networks II provide probabilities of a complication when one factor is present. Because of this, to assess the risk that one patient presents is to show one of the three kinds of complications, that is to say cerebral vascular accident, acute renal insufficiency and different heart disorders, according to the value taken by different factors simultaneously. We are going to query the model of data mining. The Language Data Mining Extensions (DMX) is used to create the structure of new models of Data Mining for learning, in other words, models must do prediction.

Keywords: Data Mining Extension, DMX request, chart, Data Mining

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ABOUT THE AUTHORS

Mbuyi Mukendi Eugène
Professor of University

Kafunda Katalayi Pierre
Chef of work

Mbelu Mutoba Bevi
Assistant


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