AIMC Topic: Semantics

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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...

Food safety in health: a model of extraction for food contaminants.

Mathematical biosciences and engineering : MBE
Contaminants are the critical targets of food safety supervision and risk assessment. In existing research, food safety knowledge graphs are used to improve the efficiency of supervision since they supply the relationship between contaminants and foo...

Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets.

Bioinformatics (Oxford, England)
MOTIVATION: Human traits are typically represented in both the biomedical literature and large population studies as descriptive text strings. Whilst a number of ontologies exist, none of these perfectly represent the entire human phenome and exposom...

NEREL-BIO: a dataset of biomedical abstracts annotated with nested named entities.

Bioinformatics (Oxford, England)
MOTIVATION: This article describes NEREL-BIO-an annotation scheme and corpus of PubMed abstracts in Russian and smaller number of abstracts in English. NEREL-BIO extends the general domain dataset NEREL by introducing domain-specific entity types. NE...

A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction.

Mathematical biosciences and engineering : MBE
Knowledge graph (KG) embedding is to embed the entities and relations of a KG into a low-dimensional continuous vector space while preserving the intrinsic semantic associations between entities and relations. One of the most important applications o...

Enhanced disease-disease association with information enriched disease representation.

Mathematical biosciences and engineering : MBE
OBJECTIVE: Quantification of disease-disease association (DDA) enables the understanding of disease relationships for discovering disease progression and finding comorbidity. For effective DDA strength calculation, there is a need to address the main...

Ontologies in the New Computational Age of Radiology: RadLex for Semantics and Interoperability in Imaging Workflows.

Radiographics : a review publication of the Radiological Society of North America, Inc
From basic research to the bedside, precise terminology is key to advancing medicine and ensuring optimal and appropriate patient care. However, the wide spectrum of diseases and their manifestations superimposed on medical team-specific and discipli...

Dual-process system based on mixed semantic fusion for Chinese medical knowledge-based question answering.

Mathematical biosciences and engineering : MBE
Chinese medical knowledge-based question answering (cMed-KBQA) is a vital component of the intelligence question-answering assignment. Its purpose is to enable the model to comprehend questions and then deduce the proper answer from the knowledge bas...

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

Database : the journal of biological databases and curation
In the last decades, a great amount of work has been done in predictive modeling of issues related to human and environmental health. Resolution of issues related to healthcare is made possible by the existence of several biomedical vocabularies and ...

CTS2 OWL: Mapping OWL Ontologies to CTS2 Terminology Resources.

Studies in health technology and informatics
The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meanin...