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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 |
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 model prediction data science |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 18-Jun-2021 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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alendinezTFM0621memoria.pdf | Memoria del TFM | 870,79 kB | Adobe PDF | View/Open |
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