AI Medical Compendium Topic:
Biological Ontologies

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MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive.

Bioinformatics (Oxford, England)
MOTIVATION: The NCBI's Sequence Read Archive (SRA) promises great biological insight if one could analyze the data in the aggregate; however, the data remain largely underutilized, in part, due to the poor structure of the metadata associated with ea...

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain.

Bioinformatics (Oxford, England)
MOTIVATION: The amount of information available in textual format is rapidly increasing in the biomedical domain. Therefore, natural language processing (NLP) applications are becoming increasingly important to facilitate the retrieval and analysis o...

Finding useful data across multiple biomedical data repositories using DataMed.

Nature genetics
The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to Knowledge initiative, we work with an international com...

ontologyX: a suite of R packages for working with ontological data.

Bioinformatics (Oxford, England)
SUMMARY: Ontologies are widely used constructs for encoding and analyzing biomedical data, but the absence of simple and consistent tools has made exploratory and systematic analysis of such data unnecessarily difficult. Here we present three package...

Modeling a System for Generating Structured Reports.

Studies in health technology and informatics
The purpose of this research is to make the medical report generation process more practical, fast and reliable, both for the health professional and for the patient. We created an ontology and modeling of a structured report (SR) Standard DICOM SR.

Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database.

Studies in health technology and informatics
To handle differences in affiliation names submitted with biomedical journal articles, we build an affiliation knowledge base named Authority File for Affiliations (AFA) based on ontology principles. There are currently 113,700 affiliation concepts w...

Summarizing an Ontology: A "Big Knowledge" Coverage Approach.

Studies in health technology and informatics
Maintenance and use of a large ontology, consisting of thousands of knowledge assertions, are hampered by its scope and complexity. It is important to provide tools for summarization of ontology content in order to facilitate user "big picture" compr...

Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation.

Studies in health technology and informatics
In this research we aim to demonstrate that an ontology-based system can categorize potential drug-drug interaction (PDDI) evidence items into complex types based on a small set of simple questions. Such a method could increase the transparency and r...

From Patient Discharge Summaries to an Ontology for Psychiatry.

Studies in health technology and informatics
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We developed ONTOPSYCHIA, an ontology for psychiatry in three modules: social and environmental factors of mental disorders, mental disorders, and treatments. T...

Application of Ontology Technology in Health Statistic Data Analysis.

Studies in health technology and informatics
UNLABELLED: Research Purpose: establish health management ontology for analysis of health statistic data. Proposed Methods: this paper established health management ontology based on the analysis of the concepts in China Health Statistics Yearbook, a...