AIMC Topic: Metadata
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Crowdsourcing and curation: perspectives from biology and natural language processing.
Database : the journal of biological databases and curation
Aug 7, 2016
Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodol...
Learning disease relationships from clinical drug trials.
Journal of the American Medical Informatics Association : JAMIA
May 17, 2016
OBJECTIVE: Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge...
The Ontology for Biomedical Investigations.
PloS one
Apr 29, 2016
The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide...
Ontology-Based Search of Genomic Metadata.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 26, 2015
The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted fr...
Applying AI to Support Categorization of Heterogeneous Epidemiological Datasets.
Studies in health technology and informatics
May 15, 2025
The significance of Findable, Accessible, Interoperable, and Reusable (FAIR) data is increasing, particularly in the context of enhancing data reuse in research. The National Research Data Infrastructure for Personal Health Data (NFDI4Health) aims to...
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.
Cell genomics
May 14, 2025
Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale omics datasets. It enhances data discovery, integration, and interpretation, enabling reproducibility, reusability, and secondary analysis. However, ...
The text2term tool to map free-text descriptions of biomedical terms to ontologies.
Database : the journal of biological databases and curation
Nov 28, 2024
There is an ongoing need for scalable tools to aid researchers in both retrospective and prospective standardization of discrete entity types-such as disease names, cell types, or chemicals-that are used in metadata associated with biomedical data. W...
Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata.
Briefings in bioinformatics
Nov 22, 2024
Reusing massive collections of publicly available biomedical data can significantly impact knowledge discovery. However, these public samples and studies are typically described using unstructured plain text, hindering the findability and further reu...
Automated annotation of scientific texts for ML-based keyphrase extraction and validation.
Database : the journal of biological databases and curation
Sep 27, 2024
Advanced omics technologies and facilities generate a wealth of valuable data daily; however, the data often lack the essential metadata required for researchers to find, curate, and search them effectively. The lack of metadata poses a significant c...
[A lightweight recurrence prediction model for high grade serous ovarian cancer based on hierarchical transformer fusion metadata].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aug 25, 2024
High-grade serous ovarian cancer has a high degree of malignancy, and at detection, it is prone to infiltration of surrounding soft tissues, as well as metastasis to the peritoneum and lymph nodes, peritoneal seeding, and distant metastasis. Whether ...
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