Machine learning analysis of a Chilean breast cancer registry

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dc.catalogadorpva
dc.contributor.authorAcevedo, Francisco
dc.contributor.authorCausa, Leonardo
dc.contributor.authorBravo, Sebastián
dc.contributor.authorGarcía, Pablo
dc.contributor.authorCuevas, Ricardo
dc.contributor.authorBravo, Maria Loreto
dc.contributor.authorAvellaira, Carla
dc.contributor.authorMuñiz, Sabrina
dc.contributor.authorPetric, Militza
dc.contributor.authorMartinez, Raúl
dc.contributor.authorGuerra, Constanza
dc.contributor.authorNavarro, Marisel
dc.contributor.authorTaramasco, Carla
dc.contributor.authorSanchez, Cesar
dc.date.accessioned2024-01-19T18:21:49Z
dc.date.available2024-01-19T18:21:49Z
dc.date.issued2021
dc.description.abstractIn recent years, artificial intelligence (AI) and machine learning (a form of AI) have offered valuable tools for medicine by applying and training algorithms in order to make predictions. Herein, we applied a machine learning algorithm to analyze data from a >20 year breast cancer (BC) registry elaborated in two Chilean health institutions (a public hospital and a private center) that includes a total of 4838 patients and their basic clinicalpathological characteristics. Preliminary results suggest that this cohort of patients can be subdivided into five clusters according to key variables that also correlate with overall survival and disease-free survival rates. To our knowledge this is the first Latin American report of its kind. Our laboratory is currently expanding these analyses.
dc.fuente.origenORCID-ene24
dc.identifier.doi10.26717/bjstr.2021.37.006037
dc.identifier.issn2574 -1241
dc.identifier.urihttp://dx.doi.org/10.26717/bjstr.2021.37.006037
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80802
dc.information.autorucEscuela de Medicina; Acevedo Claros, Francisco Nicolas; 0000-0003-3482-7746; 119540
dc.issue.numero4
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final29657
dc.pagina.inicio29654
dc.revistaBiomedical Journal of Scientific & Technical Research
dc.rightsacceso restringido
dc.subjectBreast cancer
dc.subjectMachine learning
dc.subjectOverall survival
dc.subjectDisease-free survival
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleMachine learning analysis of a Chilean breast cancer registry
dc.typeartículo
dc.volumen37
sipa.codpersvinculados119540
sipa.trazabilidadORCID;2024-01-08
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