Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/58297

TitleIron value classification in patients undergoing continuous ambulatory peritoneal dialysis using data mining
Author(s)Peixoto, Catarina
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
Santos, Manuel
KeywordsClassification Algorithms
Continuous Ambulatory Peritoneal Dialysis
Data Mining
Weka
Issue date2018
PublisherSCITEPRESS
Abstract(s)In this article, Data Mining classification techniques are employed, in order to classify as normal or not-normal the iron values from a patients’ blood analysis. The dataset used is relative to patients that were subjected to Continuous Ambulatory Peritoneal Dialysis (CAPD) treatment. Weka software was used for testing several classification algorithms into such data set. The main purpose is finding the best suitable classification algorithm, with a pleasing performance in classifying the instances of the data, whereas preserving low rate of false positives. The IBk algorithm achieved the best performance, being able to correctly classify 97.39% of the instances.
TypeConference paper
URIhttp://hdl.handle.net/1822/58297
ISBN9789897582998
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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