Life Sciences
New findings from R. Farkas and co-researchers in the area of life sciences described
Published in Obesity and Diabetes Week, August 10th, 2009
According to a study from Szeged, Hungary, "In this study the authors describe the system submitted by the team of University of Szeged to the second i2b2 Challenge in Natural Language Processing for Clinical Data. The challenge focused on the development of automatic systems that analyzed clinical discharge summary texts and addressed the following question: ''Who's obese and what co-morbidities do they (definitely/most likely) have'''."
"Target diseases included obesity and its 1.5 most frequent comorbidities exhibited by patients, while the target labels corresponded to expert judgments based on textual evidence and intuition (separately). The authors applied...
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