MEDICAL IMAGING TECHNOLOGY Vol.21 No.4 September 2003 315 1 Introduction to Bayesian Network1 * Hiroki SUYARI 1. 1 1 D1, , D4 T1, , T3 Fig. 1 Fig. 1 7 8 Di Di = 1 Di = 0 Tj Tj = 1 * 263-8522 1-33 : Department of Information and Image Sciences, Faculty of Engineering, Chiba University. e-mail:suyari@faculty.chiba-u.jp Fig. 1 One example of Bayesian Network for medical diagnosis. Tj = 0 D1, , D4, T1