Implementation of predictive data mining techniques for identifying risk factors of early AVF failure in hemodialysis patients.
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The impact of vascular diameter ratio on hemodialysis maturation time: Evidence from data mining approaches and thermodynamics law.Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other.Association between non-matured arterio-venus fistula and blood pressure in hemodialysis patients.Preoperative and Intraoperative Factors for Early Failure of Native Arteriovenous Fistulas.Roles of triglyceride and phosphate in atherosclerosis of diabetic hemodialysis patients.
P2860
Implementation of predictive data mining techniques for identifying risk factors of early AVF failure in hemodialysis patients.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Implementation of predictive d ...... lure in hemodialysis patients.
@ast
Implementation of predictive d ...... lure in hemodialysis patients.
@en
type
label
Implementation of predictive d ...... lure in hemodialysis patients.
@ast
Implementation of predictive d ...... lure in hemodialysis patients.
@en
prefLabel
Implementation of predictive d ...... lure in hemodialysis patients.
@ast
Implementation of predictive d ...... lure in hemodialysis patients.
@en
P2860
P50
P356
P1476
Implementation of predictive d ...... lure in hemodialysis patients.
@en
P2860
P304
P356
10.1155/2013/830745
P577
2013-06-04T00:00:00Z