An Artificial Neural Network Framework to Predict Patients with High Likelihood of Chronic Kidney Disease

  • Faisal Alkhaldi

Abstract

Chronic kidney disease (CKD) is an important health and healthcare system problem. The ability to predict which patients will develop CKD is a difficult task due to the complex nonlinear relationships among related factors. Using artificial neural networks (ANN), applied to a population 17 through 90 years of age, we achieved 97% accuracy in classification, based on standard laboratory test and patient data. The technique was also helpful in determining which features of the data are most predictive; 75% of the features were sufficient to reach this high level of accuracy.
Published
2018-05-07
Section
Engineering-Electrical and Computer