Sergio Capela

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i Acknowledgements We would like to thank everyone that helped us to develop this work with special regard to our project supervisor, Prof. Leonel Sousa and our INESC-ID colleagues Pedro Tomás e José Germano for their support and guidance. We also present our appreciations to Prof. Borges de Almeida for his precious help in Neural Networks, and to Markus(More)
Predictors of chronicity and the discriminative value of the new ACR/EULAR rheumatoid arthritis classification criteria in an untreated polyarthritis cohort with less than 6 weeks of disease duration Aims 1. To find predictors of progression to RA in a cohort of patients with a very recent onset polyarthritis. 2. To test the performance of the new ACR/EULAR(More)
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