Machine Learning Analysis of a Chilean Breast Cancer Registry

Francisco Acevedo, Loreto Bravo, Cesar Sanchez, Sabrina Muñiz, Militza Petric, Raúl Martinez, Constanza Guerra, Marisel Navarro, Leonardo Causa, Sebastián Bravo, Pablo García, Ricardo Cuevas, Carla Avellaira and Carla Taramasco
Additional contact information
Francisco Acevedo: Department of Hematology-Oncology, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
Cesar Sanchez: Department of Hematology-Oncology, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
Marisel Navarro: Complejo Asistencial y Hospital Dr. Sotero del Rio, Santiago, Chile
Ricardo Cuevas: Research and Development Department, B-Trials SpA, Facultad de IngenierıaÌ y Negocios, Universidad de le Américas, Santiago, Chile
Carla Avellaira: Real Word Evidence, Medical Affairs Department, Roche Chile, Santiago, Chile
Carla Taramasco: Escuela de Ingeniería Civil Informática, Universidad de Valparaíso, Centro Nacional de Sistemas de Información en Salud (CENS), Valparaiso, Chile

Biomedical Journal of Scientific & Technical Research, 2021, vol. 37, issue 4, 29654-29657

Abstract: In 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...

Keywords: Age; Weight; Height; Cancer; Disease; Clinical; Health; Pathological; Molecular; Genetic (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:37:y:2021:i:4:p:29654-29657

DOI: 10.26717/BJSTR.2021.37.006037

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