Abstract
Health institutions, and hospitals in particular, deal on a daily basis with an object of immense value: data. If these data could be extracted out of the textual clinical records and fed into machine learning models developed for assisting physicians in clinical decision-making, new opportunities would arise to clinical practice, clinical research, but above all to patients.
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