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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...
Autores principales: | KHAZAEI, SALMAN, NAJAFI-GhOBADI, SOMAYEH, RAMEZANI-DOROH, VAJIHE |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pacini Editore Srl
2021
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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 |
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