AI Medical Compendium Journal:
Journal of biomedical semantics

Showing 71 to 80 of 193 articles

Similarity corpus on microbial transcriptional regulation.

Journal of biomedical semantics
BACKGROUND: The ability to express the same meaning in different ways is a well-known property of natural language. This amazing property is the source of major difficulties in natural language processing. Given the constant increase in published lit...

Moonstone: a novel natural language processing system for inferring social risk from clinical narratives.

Journal of biomedical semantics
BACKGROUND: Social risk factors are important dimensions of health and are linked to access to care, quality of life, health outcomes and life expectancy. However, in the Electronic Health Record, data related to many social risk factors are primaril...

Levels and building blocks-toward a domain granularity framework for the life sciences.

Journal of biomedical semantics
BACKGROUND: With the emergence of high-throughput technologies, Big Data and eScience, the use of online data repositories and the establishment of new data standards that require data to be computer-parsable become increasingly important. As a conse...

A neural classification method for supporting the creation of BioVerbNet.

Journal of biomedical semantics
BACKGROUND: VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text processing an...

Development of a cardiac-centered frailty ontology.

Journal of biomedical semantics
BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older adults, those with a cardiac ...

Ontoserver: a syndicated terminology server.

Journal of biomedical semantics
BACKGROUND: Even though several high-quality clinical terminologies, such as SNOMED CT and LOINC, are readily available, uptake in clinical systems has been slow and many continue to capture information in plain text or using custom terminologies. Th...

Using predicate and provenance information from a knowledge graph for drug efficacy screening.

Journal of biomedical semantics
BACKGROUND: Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the relation...

Representing vaccine misinformation using ontologies.

Journal of biomedical semantics
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of ...

Biomedical ontology alignment: an approach based on representation learning.

Journal of biomedical semantics
BACKGROUND: While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering...

EAPB: entropy-aware path-based metric for ontology quality.

Journal of biomedical semantics
BACKGROUND: Entropy has become increasingly popular in computer science and information theory because it can be used to measure the predictability and redundancy of knowledge bases, especially ontologies. However, current entropy applications that e...