An algorithm for diagnosis of the three kinds of constitutional jaundice

In this paper we have made an algorithm to diagnose the Constitutional Jaundice (Dubin-Johnson, Gilbert and Rotor syndrome) the algorithm is decomposed into two parts: 1) using Wavelet Transform to analyse the image; via Wavelet Transform we collected three features for each kind of disease 2) calculates the percentage of the gray scales (percentage of white and black colour) for each image via its histogram, it will collect two features for each kind of disease. In total there will be five values; these five values will be the inputs for the fuzzy logic that will decide the kind of disease based on these values. We made experiments for 55 cases mostly for children who suffered from different kinds of Constitutional Jaundice. Our algorithm yields more accurate results compared to the diagnosis by a doctor’s eyes only.