Machine learning and cox based benchmarking tool: exploration of survival models associated with chronic degenerative diseases

Orozco Sánchez, Jorge Andrés; TAMEZ PEÑA, JOSE GERARDO; 67337

Machine learning and cox based benchmarking tool: exploration of survival models associated with chronic degenerative diseases

dc.audience.educationlevel	Estudiantes/Students	es_MX
dc.contributor.advisor	Tamez Peña, Jose Gerardo
dc.contributor.author	Orozco Sánchez, Jorge Andrés
dc.contributor.cataloger	emipsanchez	es_MX
dc.contributor.committeemember	Trevino Alvarado, Víctor Manuel
dc.contributor.committeemember	Martínez Ledesma, Juan Emmanuel
dc.contributor.committeemember	Martínez Torteya, Antonio
dc.contributor.department	Escuela de Ingeniería y ciencias	es_MX
dc.contributor.institution	Campus Monterrey	es_MX
dc.creator	TAMEZ PEÑA, JOSE GERARDO; 67337
dc.date.accessioned	2021-08-14T03:30:01Z
dc.date.available	2021-08-14T03:30:01Z
dc.date.created	2020-04
dc.date.embargoenddate	2021-04-30
dc.date.issued	2020-04-30
dc.description	https://orcid.org/0000-0003-1361-5162	es_MX
dc.description.abstract	the 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.	es_MX
dc.description.degree	Maestría en Ciencias Computacionales	es_MX
dc.format.medium	Texto	es_MX
dc.identificator	7\|\|33\|\|3304\|\|120304	es_MX
dc.identifier.citation	Orozco 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/11285/637504	es_MX
dc.identifier.cvu	https://orcid.org/0000-0002-7196-3977	es_MX
dc.identifier.orcid	https://orcid.org/0000-0002-7196-3977	es_MX
dc.identifier.uri	https://hdl.handle.net/11285/637504
dc.language.iso	eng	es_MX
dc.publisher	Instituto Tecnológico y de Estudios Superiores de Monterrey	es_MX
dc.relation.impreso	2020-04
dc.relation.isFormatOf	versión publicada	es_MX
dc.relation.isreferencedby	REPOSITORIO NACIONAL CONACYT
dc.rights	openAccess	es_MX
dc.rights.uri	http://creativecommons.org/licenses/by/4.0	es_MX
dc.subject.classification	INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE LOS ORDENADORES::INTELIGENCIA ARTIFICIAL	es_MX
dc.subject.keyword	Machine learning	es_MX
dc.subject.keyword	Alzheimer's	es_MX
dc.subject.keyword	Cox	es_MX
dc.subject.keyword	Breast cancer	es_MX
dc.subject.lcsh	Technology	es_MX
dc.title	Machine learning and cox based benchmarking tool: exploration of survival models associated with chronic degenerative diseases	es_MX
dc.type	Tesis de maestría