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

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