Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/182296
Title: | Data mining and visualization of multisource big data in the UK-Biobank |
Author: | Domı́nguez Ortega, Alex |
Director/Tutor: | Lekadir, Karim, 1977- |
Keywords: | Dades massives Mineria de dades Programari Treballs de fi de grau Diagnòstic per la imatge Visualització (Informàtica) Disseny de pàgines web Big data Data mining Computer software Diagnostic imaging Information display systems Bachelor's theses Web site design |
Issue Date: | 20-Jun-2021 |
Abstract: | [en] Big data has benefits and complications. Analysing big data has the capability of obtaining great knowledge which can be used for taking the best decisions, but it is an execution of high complexity. In medicine, the amount of data generated every day is more than enough to be called big data. In this project, the data extracted from radiomics, an image analysis technique that generates about 650 different variables, is treated with the objective of being visualized in an understandable and intuitive way. These visualizations are compiled in the Radiomie wide association study web page, a tool that will help investigators formulating, confirming or refuting their theories, which could be used to support new health politics. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Karim Lekadir |
URI: | http://hdl.handle.net/2445/182296 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
codi.zip | Codi font | 248.61 MB | zip | View/Open |
tfg_alex_dominguez_ortega.pdf | Memòria | 4.71 MB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License