AIMC Topic: Terminology as Topic

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OTO: Ontology Term Organizer.

BMC bioinformatics
BACKGROUND: The need to create controlled vocabularies such as ontologies for knowledge organization and access has been widely recognized in various domains. Despite the indispensable need of thorough domain knowledge in ontology construction, most ...

Semantic similarity measurement between gene ontology terms based on exclusively inherited shared information.

Gene
Quantifying the semantic similarities between pairs of terms in the Gene Ontology (GO) structure can help to explore the functional relationships between biological entities. A common approach to this problem is to measure the information they have i...

ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms.

Nucleic acids research
Adverse drug reactions (ADRs) are noxious and unexpected effects during normal drug therapy. They have caused significant clinical burden and been responsible for a large portion of new drug development failure. Molecular understanding and in silico ...

Literature-based biomedical image classification and retrieval.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Literature-based image informatics techniques are essential for managing the rapidly increasing volume of information in the biomedical domain. Compound figure separation, modality classification, and image retrieval are three related tasks useful fo...

Improved medical image modality classification using a combination of visual and textual features.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
In this paper, we present the approach that we applied to the medical modality classification tasks at the ImageCLEF evaluation forum. More specifically, we used the modality classification databases from the ImageCLEF competitions in 2011, 2012 and ...

Multimodal medical information retrieval with unsupervised rank fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. H...

Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Retrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case-based re...

Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to com...

Empirical Antonym Implementation in the UMLS SPECIALIST Lexicon.

Studies in health technology and informatics
Antonyms are words that have opposite or contrasting meanings in a specific domain. For example, "increase" is the opposite of "decrease" in the domain of "quantity". Antonyms play an important role in NLP applications to improve performance. This pa...

German Medical NER with BERT and LLMs: The Impact of Training Data Size.

Studies in health technology and informatics
Named Entity Recognition (NER) in the medical domain often presents significant challenges due to the complexity and specificity of medical terminology, especially in lower-resource settings where annotated data is scarce. This study explores the per...