[1] Univ Minho, Campus Gualtar, P-4710 Braga, Portugal
[2] Univ Minho, Algoritmi Ctr, Campus Gualtar, P-4710 Braga, Portugal
来源:
8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS
|
2017年
/
113卷
关键词:
Data Mining;
Classification;
Dialysis;
Stroke Risk;
Chronic Kidney Disease;
D O I:
10.1016/j.procs.2017.08.296
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Patients with severe kidney failure need to be carefully monitored. One of the many treatments is called Continuous Ambulatory Peritoneal Dialysis (CAPD). This kind of treatment intends to maintain the blood tests as normal as possible. Data Mining and Machine Learning can take a simple and meaningless bloods test data set and build it into a Decision Support System. Through this article, Machine Learning algorithms will be explored with different Data Mining Models in order to extract knowledge and classify a patient with a stroke risk or not, according to their blood analysis. (c) 2017 The Authors. Published by Elsevier B.V.
机构:
Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Liangxiang Hosp, Dept Radiol, Beijing, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Yu, Huan
Zhang, Chaoyang
论文数: 0引用数: 0
h-index: 0
机构:
Gen Hosp Chinese Peoples Liberat Army, Dept Nephrol, Beijing, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Zhang, Chaoyang
Cai, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Yangzhou Univ, Affiliated Hosp, Dept Nephrol, Yangzhou, Jiangsu, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Cai, Yan
Wu, Ning
论文数: 0引用数: 0
h-index: 0
机构:
Capital Med Univ, Yanjing Med Coll, Beijing, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Wu, Ning
Jia, Xiuqin
论文数: 0引用数: 0
h-index: 0
机构:
Capital Med Univ, Beijing Chaoyang Hosp, Dept Radiol, Beijing, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Jia, Xiuqin
Wu, Jiaojiao
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai United Imaging Intelligence Co Ltd, Dept Res & Dev, Shanghai, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Wu, Jiaojiao
Shi, Feng
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai United Imaging Intelligence Co Ltd, Dept Res & Dev, Shanghai, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Shi, Feng
Hua, Rui
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai United Imaging Intelligence Co Ltd, Dept Res & Dev, Shanghai, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
Hua, Rui
Yang, Qi
论文数: 0引用数: 0
h-index: 0
机构:
Capital Med Univ, Beijing Chaoyang Hosp, Dept Radiol, Beijing, Peoples R ChinaCapital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
机构:
Univ Calif Irvine, Div Nephrol & Hypertens, 333 City Blvd West,Suite 400, Orange, CA 92668 USAUniv Calif Irvine, Div Nephrol & Hypertens, 333 City Blvd West,Suite 400, Orange, CA 92668 USA