应用数据挖掘技术探索神经源性膀胱患者上尿路损伤的预测因子

资源简介

应用数据挖掘技术探索神经源性膀胱患者上尿路损伤的预测因子

【数据集背景】

本数据集源站标题为《Application of data mining techniques to explore predictors of upper urinary tract damage in patients with neurogenic bladder》。配套论文《Application of data mining techniques to explore predictors of upper urinary tract damage in patients with neurogenic bladder》发表于 Brazilian Journal of Medical and Biological Research（2017），DOI：10.1590/1414-431x20176638。源站首次发布：2017-12-05。

【数据内容】

源站原始描述：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 ur…

【数据结构与技术规格】

文件数 6 个，合计 74.02 KB。数据集 DOI：10.6084/m9.figshare.5670424.v1。

【主题与分类】

源站学科分类：Medicine、Microbiology not elsewhere classified。主题标签：Neurogenic bladder、Upper urinary tract damage、Decision tree model、Urodynamics、Urethra function。

【适用方向】

源站学科分类标注为 Medicine、Microbiology not elsewhere classified。

【获取与许可】

源站页面：https://scielo.figshare.com/articles/dataset/Application_of_data_mining_techniques_to_explore_predictors_of_upper_urinary_tract_damage_in_patients_with_neurogenic_bladder/5670424

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Fang, H.; Lu, B.; Wang, X.; Zheng, L.; Sun, K.; Cai, W. (2017). Application of data mining techniques to explore predictors of upper urinary tract damage in patients with neurogenic bladder. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-02，引用时请注意版本时效。