We address the problem of extracting knowledge from large scale clinical records written in Italian by physicians. We perform recognition of relevant entities such as symptoms, diseases, treatments, measurements, drugs and so forth, and then we determine their semantic relations. We developed suitable training corpora in order to apply machine learning techniques to this task. We report on experiments performed on medical data provided in the context of a regional research project on technologies for health care.
Annotation and extraction of relations from Italian medical records
Cozza, V.;
2015-01-01
Abstract
We address the problem of extracting knowledge from large scale clinical records written in Italian by physicians. We perform recognition of relevant entities such as symptoms, diseases, treatments, measurements, drugs and so forth, and then we determine their semantic relations. We developed suitable training corpora in order to apply machine learning techniques to this task. We report on experiments performed on medical data provided in the context of a regional research project on technologies for health care.
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