AIMC Topic: Natural Language Processing

Clear Filters Showing 3291 to 3300 of 3983 articles

quEHRy: a question answering system to query electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We propose a system, quEHRy, to retrieve precise, interpretable answers to natural language questions from structured data in electronic health records (EHRs).

Clustering Similar Diagnosis Terms.

Studies in health technology and informatics
A large clinical diagnosis list is explored with the goal to cluster syntactic variants. A string similarity heuristic is compared with a deep learning-based approach. Levenshtein distance (LD) applied to common words only (not tolerating deviations ...

Announcement of the German Medical Text Corpus Project (GeMTeX).

Studies in health technology and informatics
The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of...

Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling.

Studies in health technology and informatics
Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics of the relevant domain an...

Digital Health Data Capture with a Controlled Natural Language.

Studies in health technology and informatics
Written text has been the preferred medium for storing health data ever since Hippocrates, and the medical narrative is what enables a humanized clinical relationship. Can't we admit natural language as a user-accepted technology that has stood again...

Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.

Studies in health technology and informatics
A semi-structured clinical problem list containing ∼1.9 million de-identified entries linked to ICD-10 codes was used to identify closely related real-world expressions. A log-likelihood based co-occurrence analysis generated seed-terms, which were i...

SapBERT-Based Medical Concept Normalization Using SNOMED CT.

Studies in health technology and informatics
Word vector representations, known as embeddings, are commonly used for natural language processing. Particularly, contextualized representations have been very successful recently. In this work, we analyze the impact of contextualized and non-contex...

Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

Studies in health technology and informatics
To classify sentences in cardiovascular German doctor's letters into eleven section categories, we used pattern-exploiting training, a prompt-based method for text classification in few-shot learning scenarios (20, 50 and 100 instances per class) usi...

Diagnosis Classification in the Emergency Room Using Natural Language Processing.

Studies in health technology and informatics
Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural language processing classification models, looking both at the full classification task of 132 diagnostic categories and at several clinically applica...