Miren J. Gallego

Learn More
In this work we introduce a methodology based on Genetic Algorithms for the automatic induction of Bayesian Networks from a le containing cases and variables related to the problem. The methodology is applied to the problem of predicting survival of people after one, three and ve years of being diagnosed as having malignant skin melanoma. The accuracy of(More)
We investigated the effect of cyclosporine (CyA) on leukocyte adhesion to endothelium under flow conditions. Confluent human umbilical vein endothelial cells (HUVECs) were incubated for 24 hours with CyA (1, 5, and 10 micromol/L) and then exposed to a total human leukocyte suspension in a parallel plate flow chamber under laminar flow (1.5 dynes/cm2. Human(More)
In this paper we present an empirical comparison between several paradigms coming from Statistics and Artiicial Intelligence for solving a supervised classiication problem. The empirically compared paradigms are Bayesian Networks, Rule Induction and Logistic Regression. The problem to tackle is the prediction of women survival diagnosed with breast cancer(More)
  • 1