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A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords.
Heliyon
October 2024
Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia.
This study presents a comprehensive framework to enhance Wikidata as an open and collaborative knowledge graph by integrating Open Biological and Biomedical Ontologies (OBO) and Medical Subject Headings (MeSH) keywords from PubMed publications. The primary data sources include OBO ontologies and MeSH keywords, which were collected and classified using SPARQL queries for RDF knowledge graphs. The semantic alignment between OBO ontologies and Wikidata was evaluated, revealing significant gaps and distorted representations that necessitate both automated and manual interventions for improvement.
View Article and Find Full Text PDFMeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed.
J Biomed Semantics
October 2024
Laboratory of Probability and Statistics, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia.
Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the raw texts of scholarly publications. Despite this improvement, the reliance on large chunks of raw text makes these algorithms suffer in terms of generalization, precision, and reliability. The use of the distinctive characteristics of bibliographic metadata can prove effective in achieving better performance for this challenging task.
View Article and Find Full Text PDFComparison of clinical and radiological outcomes for the anterior and medial approaches to open reduction in the treatment of bilateral developmental dysplasia of the hip: a systematic review protocol.
Syst Rev
February 2024
Birmingham Children's Hospital, Steelhouse Lane, Birmingham, B4 6NH, UK.
Article Synopsis
- Developmental dysplasia of the hip (DDH) affects 1-3% of newborns, with 20% having bilateral cases; the best surgical approach for severe cases that don't respond to non-surgical methods is unclear.
- The study will conduct a systematic review to analyze existing literature on surgical options (medial vs. anterior approach) for bilateral DDH, using comprehensive search strategies and assessment criteria.
- Current studies lack high-quality comparative data to guide treatment decisions for bilateral DDH, thus emphasizing the importance of this systematic review in filling the knowledge gap.
Automatic Annotation of PubMed Articles with MeSH Qualifiers.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
The Medical Subject Headings (MeSH) is a comprehensive indexing vocabulary used to label millions of books and articles on PubMed. The MeSH annotation of a document consists of one or more descriptors, the main headings, and of qualifiers, subheadings specific to a descriptor. Currently, there are more than 34 million documents on PubMed, which are manually tagged with MeSH terms.
View Article and Find Full Text PDFSepsis-related immunosuppression: a bibliometric analysis.
J Thorac Dis
April 2023
Department of Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Background: Sepsis is one of the main causes of death in critically ill patients. Immunosuppression was involved deeply in the process of sepsis. The status of research on sepsis-related immunosuppression remains unclear.
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