Data mining based decision-making approach for predicting survival of kidney dialysis patients-Reference-Cited by-同舟云学术

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Data mining based decision-making approach for predicting survival of kidney dialysis patients

Published:2003-08 Issue:15 Volume:36 Page:35-39
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Kusiak Andrew,Shah Shital,Dixon Bradley

Publisher

Elsevier BV

Subject

General Medicine

Reference11 articles.

1. U.S. incidence of kidney failure is the highest in the world;Cooper;The Medical Reporter,2002

2. Advances in Knowledge Discovery and Data Mining,1997

3. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification,2002

4. A Data Mining Approach for Generation of Control Signatures;Kusiak;ASME Transactions: Journal of Manufacturing Science and Engineering,2002

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cost–benefit analysis of kidney transplant in patients with chronic kidney disease: a case study in Iran;Cost Effectiveness and Resource Allocation;2022-07-29

2. A Decision Tree on Data Mining Framework for Recognition of Chronic Kidney Disease;Biomedical and Clinical Engineering for Healthcare Advancement;2020

3. A System for Association Rule Discovery in Emergency Response Data;Innovations and Advanced Techniques in Computer and Information Sciences and Engineering

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