Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/134206
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
Keywords: cancer breast
model
prediction
data science
Issue Date: 18-Jun-2021
Publisher: Universitat Oberta de Catalunya (UOC)
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.
Language: Spanish
URI: http://hdl.handle.net/10609/134206
Appears in Collections:Bachelor thesis, research projects, etc.

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