|
|
Bimonthly Since 1986 |
ISSN 1004-9037
|
|
|
|
|
Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
|
|
|
|
|
|
|
|
|
|
Abstract
Chronic Kidney Failure is the medical term for chronic kidney dis-ease. It portrays the moderate disintegration of renal disappointment and how, assuming that constant kidney infection has advanced to a high level stage, a high volume of fluid and undesirable electrolytes may develop in the body. We may see less evidence of chronic renal disease in the early phases. The treatment for chronic kidney disease focuses on slowing down the pro-cess of kidney damage. Without a trace of dialysis or kidney migration, per-sistent renal sickness can advance to the last periods of kidney annihilation, which is inoperable. The focal point of this examination is on early discovery of constant obstructive pneumonia illness utilizing different AI techniques, which are K-Nearest Neighbor, Decision Tree and Bayesian Classifier.
Keyword
Chronic Kidney Disease, K-Nearest Neighbor, Decision Tree, and Bayesian Classifier, AI techniques.
PDF Download (click here)
|
|
|
|
|