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Information extraction from electronic medical documents: state of the art and future research directions
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …
narrative documents, and he is responsible for every decision he takes for patients …
Current approaches to identify sections within clinical narratives from electronic health records: a systematic review
Background The identification of sections in narrative content of Electronic Health Records
(EHR) has demonstrated to improve the performance of clinical extraction tasks; however …
(EHR) has demonstrated to improve the performance of clinical extraction tasks; however …
Annotation and initial evaluation of a large annotated German oncological corpus
M Kittner, M Lam**, DT Rieke, J Götze, B Bajwa… - JAMIA …, 2021 - academic.oup.com
Abstract Objective We present the Berlin-Tübingen-Oncology corpus (BRONCO), a large
and freely available corpus of shuffled sentences from German oncological discharge …
and freely available corpus of shuffled sentences from German oncological discharge …
A distributable German clinical corpus containing cardiovascular clinical routine doctor's letters
We present CARDIO: DE, the first freely available and distributable large German clinical
corpus from the cardiovascular domain. CARDIO: DE encompasses 500 clinical routine …
corpus from the cardiovascular domain. CARDIO: DE encompasses 500 clinical routine …
Hybrid method to automatically extract medical document tree structure
A huge and rapidly growing quantity of medical documents is available in an electronic
versions. These informing documents mostly have textual content in natural language …
versions. These informing documents mostly have textual content in natural language …
Extracting and structuring information from the electronic medical text: state of the art and trendy directions
MY Landolsi, L Hlaoua, LB Romdhane - Multimedia Tools and …, 2024 - Springer
In the medical field, doctors must have comprehensive knowledge by reading and writing
narrative documents, and they are responsible for every decision they take for patients …
narrative documents, and they are responsible for every decision they take for patients …
Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models
Objective A vast amount of medical data is still stored in unstructured text documents. We
present an automated method of information extraction from German unstructured clinical …
present an automated method of information extraction from German unstructured clinical …
Annotating German clinical documents for de-identification
We devised annotation guidelines for the de-identification of German clinical documents and
assembled a corpus of 1,106 discharge summaries and transfer letters with 44K annotated …
assembled a corpus of 1,106 discharge summaries and transfer letters with 44K annotated …
[HTML][HTML] Optimized identification of advanced chronic kidney disease and absence of kidney disease by combining different electronic health data resources and by …
Automated identification of advanced chronic kidney disease (CKD≥ III) and of no known
kidney disease (NKD) can support both clinicians and researchers. We hypothesized that …
kidney disease (NKD) can support both clinicians and researchers. We hypothesized that …
Clinical information extraction for lower-resource languages and domains with few-shot learning using pretrained language models and prompting
A vast amount of clinical data are still stored in unstructured text. Automatic extraction of
medical information from these data poses several challenges: high costs of clinical …
medical information from these data poses several challenges: high costs of clinical …