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This work focuses on the creation of a system to detect negated medical entities in electronic health records (EHRs) written in Spanish. The importance of this task rests on the influence that the negation can have in the automatic understanding of information given that it inverts the truth value of a clause. We explore a novel continuous characterization as an alternative to previous negation extraction...
Hepatitis, a common liver inflammation, is one of the major public health issues around the world. Proper interpretation of clinical data for the diagnosis of hepatitis is an important problem that needs to be addressed. In this study, a hybrid intelligent approach, combining information gain method and adaptive neuro-fuzzy inference system (ANFIS), is proposed for the diagnosis of fatal hepatitis...
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