Department of Electronics and Communication, Rayalseema University, Kurnool, India
Research Article
Development of Chronic Kidney Disease Risk Prediction and Management System: Research Study
Author(s): Bheema Lingaiah Thamineni*, Abeba Getachew Asmare, Hanumesh Kumar Dasari and Solomon Woldetsadik
Background: Chronic kidney disease is one of a major global public health issue, affecting over 10% of
the population worldwide. It is the leading cause of death in 2016 ranking 16th and is expected to rise
to 5th rank by 2040. Consequently, tools to identify patients at high risk of having CKD and
management of risk factors are needed, particularly in limited-resources settings where laboratory
facilities are scarce. This study aimed to develop a risk prediction and management system using data
from JUMC, SPHMMC and MTUTH.
Objective: To develop chronic kidney disease risk prediction and management system is using expert
system.
Method: General chronic kidney disease risk factor were collected from expert knowledge. The
identified general risk factors were applied on 384 patients data collected fro.. View More»
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