2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/31812We apply the optimization algorithm Adaptive Simulated Annealing (ASA) to the problem of analyzing data on a large population and selecting the best model to predict that an individual with various traits will have a particular disease. We compare ASA with traditional forward and backward regression on computer simulated data. We find that the traditional methods of modeling are better for smaller data sets whereas a numerically stable ASA seems to perform better on larger and more complicated data sets.10 pages, no figures, in Proceedings, Hawaii International Conference on Statistics and Related Fields, June 5-8, 2003Artificial IntelligenceQuantitative MethodsH.2.8; J.3text