We aim to build and evaluate an open-source natural language processing system for
information extraction from electronic medical record clinical free-text. We describe and …

In order to survey, facilitate, and evaluate studies of medical language processing on clinical
narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second …

Informatics for integrating biology and the bedside (i2b2) seeks to provide the
instrumentation for using the informational by-products of health care and the biological …

Background Standards-based clinical data normalization has become a key component of
effective data integration and accurate phenotyping for secondary use of electronic …

Reducing custom software development effort is an important goal in information retrieval
(IR). This study evaluated a generalizable approach involving with no custom software or …

In this thesis, we aimed at detecting uncertainty in English and Hungarian natural language
texts. This research question can be investigated from a dual perspective since it is situated …

Objective To develop an algorithm for the discovery of drug treatment patterns for endocrine
breast cancer therapy within an electronic medical record and to test the hypothesis that …

Objective: 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 …

Background Text classification tasks of unstructured medical notes are often challenged with
the issues of highly imbalanced classes and/or small sample sizes. Data augmentation is a …

Le codage des comptes-rendus cliniques est une tâche réalisée quotidiennement dans les
hôpitaux. Nous proposons d'étudier l'influence que les informations sémantiques peuvent …