Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks
José M. Peña, Isabel Izarzugaza, Jose Antonio Lozano, E. Aldasoro, Pedro Larrañaga · 2001
With the aim of improving knowledge on the geographical distribution and characterization of malignant tumors in the Autonomous Communityofthe Basque Country (Spain), age-standardized cancer incidence rates of the 6 most frequent cancer types for patients of each sex between 1986 and 1994 are analyzed, in relation to the towns of the Community. Concretely, we perform a geographical clustering of the towns of the Community by means of Bayesian networks and conditional Gaussian networks. We present several maps that show the clusterings encoded by the learnt models. In addition to this, we outline the cancer incidence profile for each of the obtained clusters.