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Construction data mining methods in the prediction of death in hemodialysis patients using support vector machine, neural network, logistic regression and decision tree

OBJECTIVES: Chronic kidney disease (CKD) is one of the main causes of morbidity and mortality worldwide. Detecting survival modifiable factors could help in prioritizing the clinical care and offers a treatment decision-making for hemodialysis patients. The aim of this study was to develop the best...

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Detalles Bibliográficos
Autores principales: KHAZAEI, SALMAN, NAJAFI-GhOBADI, SOMAYEH, RAMEZANI-DOROH, VAJIHE
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283642/
https://www.ncbi.nlm.nih.gov/pubmed/34322640
http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.1.1837