Classification of complete blood count and haemoglobin typing data by a C4.5 decision tree, a naïve Bayes classifier and a multilayer perceptron for thalassaemia screening

• Main Authors: Damrongrit Setsirichok, Theera Piroonratana, Waranyu Wongseree, Touchpong Usavanarong, Nuttawut Paulkhaolarn, Chompunut Kanjanakorn, Monchan Sirikong, Chanin Limwongse, Nachol Chaiyaratana
• Other Authors: King Mongkut's University of Technology North Bangkok
• Format: Article
• Published: 2018
• Subjects: Computer Science; Medicine
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/14051
• Institution: Mahidol University

This article presents the classification of blood characteristics by a C4.5 decision tree, a naïve Bayes classifier and a multilayer perceptron for thalassaemia screening. The aim is to classify eighteen classes of thalassaemia abnormality, which have a high prevalence in Thailand, and one control c...