A Bayesian Belief Network approach for predicting kernicterus

  • F.I. Amadin
  • M.E. Bello
Keywords: Jaundice, Kernicterus, Bayesian Belief Network

Abstract

A lot of research have been conducted using expert systems in the diagnosis of neonatal jaundice but none has been conducted on kernicterus. Kernicterus is a complication of neonatal jaundice in which bilirubin accumulates in the grey matter of the brain, causing an irreversible neurological damage. In this paper, a Bayesian belief network was designed for predicting neonatal jaundice. The BBN model has 15 nodes and had 97% and 94% accuracy in classifying neonatal jaundice and kernicterus respectively.

Keywords: Jaundice, Kernicterus, Bayesian Belief Network

Published
2019-04-17
Section
Articles

Journal Identifiers


eISSN: 2467-8821
print ISSN: 0331-8443