TeamUEvora at Clef eHealth 2014 Task2a

Abstract

We present our first participation in a ShARe/CLEF eHealth Lab contributing for task 2a. Task 2 is an extension of the 2013 lab task 1 and consists of information extraction from clinical text for Dis- ease/Disorder Template Filling; task 2a aims at predicting each attribute’s normalization value. This is our first approach to the problem of extracting and handling information from clinical texts. More than getting a good result, our priority is to understand the problems associated with this area. For that, we developed a system that combines information from cTAKES output and the training corpus. The performance was measured using accuracy. Our system ranked 7th with an accuracy value of 0.802, a F 1 value of 0.214, a precision value of 0.217 and a recall value of 0.211.