# name
Data mining and visualization of multisource big data in the UK-Biobank

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Karim Lekadir

# metadata.dc.description.abstract[].value
[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.

# metadata.dc.rights[].value
memòria: cc-nc-nd (c) Alex Domı́nguez Ortega, 2021

# metadata.dc.rights[].value
codi: GPL (c) Alex Domı́nguez Ortega, 2021

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
Data mining and visualization of multisource big data in the UK-Biobank