Search Results - "Borchert, Florian"

Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts by Ladas, Nektarios, Borchert, Florian, Franz, Stefan, Rehberg, Alina, Strauch, Natalia, Sommer, Kim Katrin, Marschollek, Michael, Gietzelt, Matthias

“…Background Extraction of medical terms and their corresponding values from semi-structured and unstructured texts of medical reports can be a time-consuming…”
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Grass Growth and N2O Emissions From Soil After Application of Jellyfish in Coastal Areas by Borchert, Florian, Emadodin, Iraj, Kluß, Christof, Rotter, Ana, Reinsch, Thorsten

“…The supply of nutrients for agricultural production faces enormous challenges as food security and sustainability goals have to be ensured. Processing of…”
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A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters by Richter-Pechanski, Phillip, Wiesenbach, Philipp, Schwab, Dominic M., Kiriakou, Christina, He, Mingyang, Allers, Michael M., Tiefenbacher, Anna S., Kunz, Nicola, Martynova, Anna, Spiller, Noemie, Mierisch, Julian, Borchert, Florian, Schwind, Charlotte, Frey, Norbert, Dieterich, Christoph, Geis, Nicolas A.

“…We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500…”
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Improving biomedical entity linking for complex entity mentions with LLM-based text simplification by Borchert, Florian, Llorca, Ignacio, Schapranow, Matthieu-P

“…Large amounts of important medical information are captured in free-text documents in biomedical research and within healthcare systems, which can be made…”
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Tu1978 MACHINE LEARNING BASED PREDICTION OF INCIDENT CASES OF CROHN'S DISEASE USING ELECTRONIC HEALTH RECORDS FROM A LARGE INTEGRATED HEALTH SYSTEM by Hugo, Julian, Ibing, Susanne, Borchert, Florian, Sachs, Jan P., Ungaro, Ryan C., Böttinger, Erwin P.

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541 AUTOMATING CROHN'S DISEASE PHENOTYPING: A NATURAL LANGUAGE PROCESSING APPROACH by Ibing, Susanne, Schmidt, Linea, Borchert, Florian, Hugo, Julian, Benson, Caroline, Marshall, Allison A., Peraza, Jellyana, Renard, Bernhard Y., Cho, Judy H., Bottinger, Erwin P., Ungaro, Ryan C.

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Triangulation of Questionnaires, Qualitative Data and Natural Language Processing: A Differential Approach to Religious Bahá’í Fasting in Germany by Steckhan, Nico, Ring, Raphaela, Borchert, Florian, Koppold, Daniela A.

“…Approaches to integrating mixed methods into medical research are gaining popularity. To get a holistic understanding of the effects of behavioural…”
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medBERT.de: A comprehensive German BERT model for the medical domain by Bressem, Keno K., Papaioannou, Jens-Michalis, Grundmann, Paul, Borchert, Florian, Adams, Lisa C., Liu, Leonhard, Busch, Felix, Xu, Lina, Loyen, Jan P., Niehues, Stefan M., Augustin, Moritz, Grosser, Lennart, Makowski, Marcus R., Aerts, Hugo J.W.L., Löser, Alexander

“…•medBERT.de: German BERT model tailored for medical domain expertise.•Trained using 4.7 million diverse medical documents for optimal results.•Achieved new…”
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Knowledge bases and software support for variant interpretation in precision oncology by Borchert, Florian, Mock, Andreas, Tomczak, Aurelie, Hügel, Jonas, Alkarkoukly, Samer, Knurr, Alexander, Volckmar, Anna-Lena, Stenzinger, Albrecht, Schirmacher, Peter, Debus, Jürgen, Jäger, Dirk, Longerich, Thomas, Fröhling, Stefan, Eils, Roland, Bougatf, Nina, Sax, Ulrich, Schapranow, Matthieu-P

“…Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology…”
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Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence by Borchert, Florian, Meister, Laura, Langer, Thomas, Follmann, Markus, Arnrich, Bert, Schapranow, Matthieu-P

“…Clinical guidelines integrate latest evidence to support clinical decision-making. As new research findings are published at an increasing rate, it would be…”
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Knowledge bases and software support for variant interpretation in precision oncology by Borchert, Florian, Mock, Andreas, Tomczak, Aurelie, Hügel, Jonas, Alkarkoukly, Samer, Knurr, Alexander, Volckmar, Anna-Lena, Stenzinger, Albrecht, Schirmacher, Peter, Debus, Jürgen, Jäger, Dirk, Longerich, Thomas, Fröhling, Stefan, Eils, Roland, Bougatf, Nina, Sax, Ulrich, Schapranow, Matthieu-P

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Understanding emotions in the context of IT-based self-monitoring by de Paula, Danielly, Borchert, Florian, Sasso, Ariane, Uebernickel, Falk

“…This study explores the intersection of information technology-based self-monitoring (ITSM) and emotional responses in chronic care. It critiques the lack of…”
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xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization by Borchert, Florian, Llorca, Ignacio, Roller, Roland, Arnrich, Bert, Schapranow, Matthieu-P

“…Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to…”
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A Comparison of Concept Embeddings for German Clinical Corpora by Rasheed, Aadil, Borchert, Florian, Kohlmeyer, Lasse, Henkenjohann, Richard, Schapranow, Matthieu-P.

“…Clinical concept embeddings enable unsupervised learning of relationships among medical concepts. A range of benchmarks quantifies the degree to which learned…”
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MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain by Bressem, Keno K, Papaioannou, Jens-Michalis, Grundmann, Paul, Borchert, Florian, Adams, Lisa C, Liu, Leonhard, Busch, Felix, Xu, Lina, Loyen, Jan P, Niehues, Stefan M, Augustin, Moritz, Grosser, Lennart, Makowski, Marcus R, Aerts, Hugo JWL, Löser, Alexander

“…Expert Systems with Applications 2024;237(21):121598 This paper presents medBERTde, a pre-trained German BERT model specifically designed for the German…”
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GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines by Borchert, Florian, Lohr, Christina, Modersohn, Luise, Langer, Thomas, Follmann, Markus, Sachs, Jan Philipp, Hahn, Udo, Schapranow, Matthieu-P

“…The lack of publicly accessible text corpora is a major obstacle for progress in natural language processing. For medical applications, unfortunately, all…”
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