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Application of data mining techniques to explore predictors of upper urinary tract damage in patients with neurogenic bladder BJMBR
Fang,H.; Lu,B.; Wang,X.; Zheng,L.; Sun,K.; Cai,W..
This study proposed a decision tree model to screen upper urinary tract damage (UUTD) for patients with neurogenic bladder (NGB). Thirty-four NGB patients with UUTD were recruited in the case group, while 78 without UUTD were included in the control group. A decision tree method, classification and regression tree (CART), was then applied to develop the model in which UUTD was used as a dependent variable and history of urinary tract infections, bladder management, conservative treatment, and urodynamic findings were used as independent variables. The urethra function factor was found to be the primary screening information of patients and treated as the root node of the tree; Pabd max (maximum abdominal pressure, >14 cmH2O), Pves max (maximum...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Neurogenic bladder; Upper urinary tract damage; Decision tree model; Urodynamics; Urethra function.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2017001000603
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