Tamez Peña, Jose GerardoOrozco Sánchez, Jorge Andrés2021-08-142021-08-142020-042020-04-30Orozco Sánchez, J. (2020). Machine Learning and Cox Based Benchmarking Tool: Exploration of Survival Models Associated with Chronic Degenerative Diseases (Tesis de Maestría / master Thesis). Instituto Tecnológico y de Estudios Superiores de Monterrey. Recuperado de: https://hdl.handle.net/11285/637504https://hdl.handle.net/11285/637504https://orcid.org/0000-0003-1361-5162the present work reports the exploration of the CoxBenchmarking function applied to chronic-degenerative disease datasets associated with survival. CoxBenchmarking implementation is a computer-based benchmarking algorithm that compares the Survival Models that were constructed by several machine learning strategies. It was developed as an extension of FRESA.CAD package and uses its Random Holdout Cross-Validation. CoxBenchmarking provides an algorithm that generates eleven distinct survival models through feature selection of ML-based techniques: 6 wrappers and 5 filters. Besides, the function summarizes the results with tables and graphs by providing a well-ordered data structure and a plot function.TextoengopenAccesshttp://creativecommons.org/licenses/by/4.0INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES::INTELIGENCIA ARTIFICIALTechnologyTesis de maestríahttps://orcid.org/0000-0002-7196-3977Machine learningAlzheimer'sCoxBreast cancerhttps://orcid.org/0000-0002-7196-3977