This article uses two computational techniques to detect Hepatitis, an inflammatory disease that affects the liver.An evaluation of techniques to detect it is presented, including KD-Trees and Neural Networks.The results show that KD-Trees system had a 59% of success while the neural network system had a 72% of success rate.Also, an analysis was carried out for each result employing receiver operating characteristic curves.