Predicting survival time for kidney dialysis patients: a data mining approach

Author:

Kusiak Andrew,Dixon Bradley,Shah Shital

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference25 articles.

1. US Renal Data System, USRDS 2002 Annual Data Report: Atlas of End-Stage Renal Disease in the United States, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, Accessed on 2002, December 03, Website: http://www.usrds.org/atlas.htm.

2. J. Cooper, US incidence of kidney failure is the highest in the world, The Medical Reporter, Accessed on 2002, April 30. Website: http://medicalreporter.health.org/tmr0799/kidney.html.

3. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification, National Kidney Foundation, Accessed on 2002, December 03. Website: http://www.kidney.org/professionals/doqi/kdoqi/toc.htm.

4. National Institute of Diabetes & Digestive & Kidney Diseases, National Kidney and Urologic Diseases Information Clearinghouse, Your Kidneys and How They Work, NIH Publication No. 02-4241. February 2002, Website: www.niddk.nih.gov/health/kidney/pubs/yourkids/index.htm.

5. Human Physiology: From Cells to Systems;Sherwood,1993

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