Search Results - "Deleger, L."

Large-scale evaluation of automated clinical note de-identification and its impact on information extraction by Deleger, Louise, Molnar, Katalin, Savova, Guergana, Xia, Fei, Lingren, Todd, Li, Qi, Marsolo, Keith, Jegga, Anil, Kaiser, Megan, Stoutenborough, Laura, Solti, Imre

“…(1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To…”
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Aide à la décision en télécardiologie par une approche basée ontologie et centrée patient by Burgun, A, Rosier, A, Temal, L, Jacques, J, Messai, R, Duchemin, L, Deleger, L, Grouin, C, Van Hille, P, Zweigenbaum, P, Beuscart, R, Delerue, D, Dameron, O, Mabo, P, Henry, C

“…Résumé Les défibrillateurs implantables et la télécardiologie apportent un bénéfice aux patients présentant une insuffisance cardiaque. Le projet AKENATON…”
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Translating medical terminologies through word alignment in parallel text corpora by Deléger, Louise, Merkel, Magnus, Zweigenbaum, Pierre

“…Developing international multilingual terminologies is a time-consuming process. We present a methodology which aims to ease this process by automatically…”
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Aide à la décision en télécardiologie par une approche basée ontologie et centrée patient by Burgun, Anita, Rosier, A., Temal, L., Jacques, Julien, Messai, R., Duchemin, L., Deleger, L., Grouin, C., van Hille, P., Zweigenbaum, P., Beuscart, R., Delerue, David, Dameron, Olivier, Mabo, Philippe, Henry, C.

“…Implantable cardiac defibrillators along with telecardiology services provide improvements in health care delivery and clinical outcomes in the field of heart…”
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Aide à la décision en télécardiologie par une approche basée ontologie et centrée patient : ANR TECSAN: Technologies for Health and Autonomy by BURGUN, A, ROSIER, A, BEUSCART, R, DELERUE, D, DAMERON, O, MABO, P, HENRY, C, TEMAL, L, JACQUES, J, MESSAI, R, DUCHEMIN, L, DELEGER, L, GROUIN, C, VAN HILLE, P, ZWEIGENBAUM, P

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Cheap, Fast, and Good Enough for the Non-biomedical Domain but is It Usable for Clinical Natural Language Processing? Evaluating Crowdsourcing for Clinical Trial Announcement Named Entity Annotations by Haijun Zhai, Lingren, T., Deleger, L., Qi Li, Kaiser, M., Stoutenborough, L., Solti, I.

“…Building upon previous work from the general crowdsourcing research, this study investigates the usability of crowdsourcing in the clinical NLP domain for…”
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Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach by Qi Li, Haijun Zhai, Deleger, L., Lingren, T., Kaiser, M., Stoutenborough, L., Solti, I.

“…The goal of this work is to evaluate binary classification and sequence labeling methods for medication-attribute linkage detection in two clinical corpora…”
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Pre-annotating Clinical Notes and Clinical Trial Announcements for Gold Standard Corpus Development: Evaluating the Impact on Annotation Speed and Potential Bias by Lingren, T., Deleger, L., Molnar, K., Zhai, H., Meinzen-Derr, J., Kaiser, M., Stoutenborough, L., Qi Li, Solti, I.

“…In this study our aim was to present a series of experiments to evaluate the impact of pre-annotation: (1) on the speed of manual annotation of clinical notes…”
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Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification by Deleger, L., Brodzinski, H., Haijun Zhai, Qi Li, Lingren, T., Kirkendall, E., Alessandrini, E., Solti, I.

“…This study evaluated an automated approach for appendicitis risk stratification of pediatric Emergency Department patients using Conditional Random Fields,…”
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