AIMC Journal:
Studies in health technology and informatics

Showing 531 to 540 of 1278 articles

Digital Health Data Capture with a Controlled Natural Language.

Studies in health technology and informatics May 18, 2023
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...
Humans Language Natural Language Processing Semantics Systematized Nomenclature of Medicine Unified Medical Language System
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Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.

Studies in health technology and informatics May 18, 2023
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...
Electronic Health Records Natural Language Processing Likelihood Functions
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SapBERT-Based Medical Concept Normalization Using SNOMED CT.

Studies in health technology and informatics May 18, 2023
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...
Natural Language Processing Systematized Nomenclature of Medicine
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In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts.

Studies in health technology and informatics May 18, 2023
Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a machine learning model to predict the inpatient prognosis of cancer patients using EMR data with Jap...
Humans Machine Learning Prognosis Electronic Health Records Neoplasms Hospitals Inpatients
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Few-Shot and Prompt Training for Text Classification in German Doctor's Letters.

Studies in health technology and informatics May 18, 2023
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...
Machine Learning Language Learning Natural Language Processing
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Diagnosis Classification in the Emergency Room Using Natural Language Processing.

Studies in health technology and informatics May 18, 2023
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...
Natural Language Processing Emergency Service, Hospital
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Classifiers of Medical Eponymy in Scientific Texts.

Studies in health technology and informatics May 18, 2023
Many concepts in the medical literature are named after persons. Frequent ambiguities and spelling varieties, however, complicate the automatic recognition of such eponyms with natural language processing (NLP) tools. Recently developed methods inclu...
Neural Networks, Computer Language Natural Language Processing PubMed Unified Medical Language System
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Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment.

Studies in health technology and informatics May 18, 2023
Clinical information systems have become large repositories for semi-structured and partly annotated electronic health record data, which have reached a critical mass that makes them interesting for supervised data-driven neural network approaches. W...
Neural Networks, Computer Electronic Health Records Language International Classification of Diseases
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Health-Related Content in Transformer-Based Language Models: Exploring Bias in Domain General vs. Domain Specific Training Sets.

Studies in health technology and informatics May 18, 2023
In this communication, we demonstrate that the bias observed in domain general training sets with health-related content is not improved in domain specific health-communication corpora, contra.
Language Natural Language Processing Bias
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Model and Strategy for Predicting and Discovering Drug-Drug Interactions.

Studies in health technology and informatics May 18, 2023
Taking several medications at the same time is an increasingly common phenomenon in our society. The combination of drugs is certainly not without risk of potentially dangerous interactions. Taking into account all possible interactions is a very com...
Machine Learning Drug Interactions
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