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Title: Modelo predictivo en cáncer de mama a partir de datos antropométricos y de analíticas de sangre
Author: Lendínez Gutiérrez, Alberto
Tutor: Nieto Librero, Ana Belén
Others: Casas-Roma, Jordi  
Abstract: The aim of this work is to create a model that allows predicting the existence of breast cancer in a patient from anthropometric data and blood tests with a low margin of error, thus facilitating the process of diagnosis of the disease in order to reduce unnecessary sequelae in the patient. To achieve this task, studies are carried out in an opensource dataset using programming languages such as R and Python for the classification and subsequent creation of the optimal model for this task, comparing the different results obtained with different types of predictive models.
Keywords: cancer breast
data science
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 18-Jun-2021
Publication license:  
Appears in Collections:Bachelor thesis, research projects, etc.

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