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Diseases are often umbrella terms for many subcategories of disease. The identification of these subcategories is vital if we are to develop personalised treatments that are better focussed on individual patients. In this short paper, we explore the use of a combination of unsupervised learning to identify potential subclasses, and supervised learning to build models for better predicting a number...
The emerging of new Information and Communications Technologies (ICT), the aging population and the increased number of people suffering from chronic diseases are changing the health structure of developed countries. Given this situation, it is crucial that research based on demographics data is promoted and researchers can access large amounts of patient data, having this information validated by...
Rare diseases occur infrequently or rarely in a population and among them, nearly 75% affect children. To date, their low prevalence and heterogeneity resulted in a lack of scientific knowledge and prevented an access to a quick and correct diagnosis. The sharing of multiple sources of information from different centers and actors may have a key role in this field. In order to address this issue,...
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