A data mining approach to study disease presentation patterns in Primary Progressive Aphasia.
Departamento de Engenharia Informática –
Nowadays the world is faced with an ageing population and the related challenges, as
healthcare issues given the current incidence of diseases more prevalent in elders, such as
neurodegenerative diseases. Primary Progressive Aphasia (PPA) is a neurodegenerative disease
characterized by a gradual dissolution of language abilities, being these patients regarded with
special attention since they possess higher risk to evolve to dementia. Consequently,
discovering the different subtypes of PPA patients is fundamental to the timely administration
of pharmaceutics and therapeutic interventions, improving patients quality of life.
This thesis aims to propose a data mining approach to extract relevant knowledge from
clinical data, namely to learn the variants of PPA. Initially, standard clustering algorithms were
applied with the purpose of studying the number of groups existent in the dataset and
eventually, study the potential existence of new groups, different from the PPA subtypes
already defined in the literature. Then, during a second phase, supervised learning techniques
were used to analyze patients according to their clinical classification in one of the three PPA
variants and develop a new and accurate classification model.
The unsupervised learning analysis pointed to the existence of two main groups in the
dataset analyzed in this work. This study included the evaluation of diverse sets of attributes in
order to access which type/set of attributes produced better results. Finally, two new
methodologies for classifying patients with PPA were developed, reaching good accuracies in
the dataset under study. One of those methodologies enables the identification of instances
which are (potentially) not from any of the already defined three PPA subtypes.
Date: 2013-Dec-05 Time: 14:30:00 Room: 336
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.