A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis

dc.contributor.author Cláudia Vanessa Brito en
dc.contributor.author Esteves,M en
dc.contributor.author Peixoto,H en
dc.contributor.author Abelha,A en
dc.contributor.author Machado,J en
dc.contributor.other 7516 en
dc.date.accessioned 2022-05-19T15:24:00Z
dc.date.available 2022-05-19T15:24:00Z
dc.date.issued 2022 en
dc.description.abstract Continuous ambulatory peritoneal dialysis (CAPD) is a treatment used by patients in the end-stage of chronic kidney diseases. Those patients need to be monitored using blood tests and those tests can present some patterns or correlations. It could be meaningful to apply data mining (DM) to the data collected from those tests. To discover patterns from meaningless data, it becomes crucial to use DM techniques. DM is an emerging field that is currently being used in machine learning to train machines to later aid health professionals in their decision-making process. The classification process can found patterns useful to understand the patients’ health development and to medically act according to such results. Thus, this study focuses on testing a set of DM algorithms that may help in classifying the values of serum creatinine in patients undergoing CAPD procedures. Therefore, it is intended to classify the values of serum creatinine according to assigned quartiles. The better results obtained were highly satisfactory, reaching accuracy rate values of approximately 95%, and low relative absolute error values. © 2019, Springer Science Business Media, LLC, part of Springer Nature. en
dc.identifier P-00Q-5PW en
dc.identifier.uri http://dx.doi.org/10.1007/s11276-018-01905-4 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/12997
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis en
dc.type en
dc.type Publication en
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