Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

Autor: Deepak R. Unni, Sierra A. T. Moxon, Michael Bada, Matthew Brush, Richard Bruskiewich, J. Harry Caufield, Paul A. Clemons, Vlado Dancik, Michel Dumontier, Karamarie Fecho, Gustavo Glusman, Jennifer J. Hadlock, Nomi L. Harris, Arpita Joshi, Tim Putman, Guangrong Qin, Stephen A. Ramsey, Kent A. Shefchek, Harold Solbrig, Karthik Soman, Anne E. Thessen, Melissa A. Haendel, Chris Bizon, Christopher J. Mungall, The Biomedical Data Translator Consortium

Publikováno v: Clinical and Translational Science, Vol 15, Iss 8, Pp 1848-1855 (2022)

Abstract Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data models elucidate the interconnectedness among core biomedical concepts, enable data

Externí odkaz: https://doaj.org/article/51789557b3144741819afc43c3755e97

A Simple Standard for Sharing Ontological Mappings (SSSOM)

Autor: Nicolas Matentzoglu, James P Balhoff, Susan M Bello, Chris Bizon, Matthew Brush, Tiffany J Callahan, Christopher G Chute, William D Duncan, Chris T Evelo, Davera Gabriel, John Graybeal, Alasdair Gray, Benjamin M Gyori, Melissa Haendel, Henriette Harmse, Nomi L Harris, Ian Harrow, Harshad B Hegde, Amelia L Hoyt, Charles T Hoyt, Dazhi Jiao, Ernesto Jiménez-Ruiz, Simon Jupp, Hyeongsik Kim, Sebastian Koehler, Thomas Liener, Qinqin Long, James Malone, James A McLaughlin, Julie A McMurry, Sierra Moxon, Monica C Munoz-Torres, David Osumi-Sutherland, James A Overton, Bjoern Peters, Tim Putman, Núria Queralt-Rosinach, Kent Shefchek, Harold Solbrig, Anne Thessen, Tania Tudorache, Nicole Vasilevsky, Alex H Wagner, Christopher J Mungall

Publikováno v: Database-the journal of biological databases and curation
Database-The Journal of Biological Databases and Curation, 2022:035. Oxford University Press
Database, 2022. OXFORD UNIV PRESS

Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar objects in different databases poses a major

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d79ccec144cafb9d7bf00551d34520d

ICD-11 (JLMMS) and SCT Inter-Operation

Autor: Marzouk, Mamou, Alan, Rector, Stefan, Schulz, James, Campbell, Harold, Solbrig, Jean-Marie, Rodrigues

Publikováno v: Studies in health technology and informatics. 223

The goal of this work is to contribute to a smooth and semantically sound inter-operability between the ICD-11 (International Classification of Diseases-11th revision Joint Linearization for Mortality, Morbidity and Statistics) and SNOMED CT (SCT). T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::12a89170489687ecf45804a86a71b089
https://pubmed.ncbi.nlm.nih.gov/27139413

ICD-11 and SNOMED CT Common Ontology: circulatory system

Autor: Jean-Marie, Rodrigues, Stefan, Schulz, Alan, Rector, Kent, Spackman, Jane, Millar, James, Campbell, Bedirhan, Ustün, Christopher G, Chute, Harold, Solbrig, Vincenzo, Della Mea, Kristina Brand, Persson

Publikováno v: Studies in health technology and informatics. 205

The improvement of semantic interoperability between data in electronic health records and aggregated data for health statistics requires efforts to carefully align the two domain terminologies ICD and SNOMED CT. Both represent a new generation of on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::32aeceac934089a2eb4267dfe025b0f9
https://pubmed.ncbi.nlm.nih.gov/25160347

Semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD-10

Autor: James R, Campbell, Hazel, Brear, Rita, Scichilone, Susan, White, Kathy, Giannangelo, Brian, Carlsen, Harold, Solbrig, Kin Wah, Fung

Publikováno v: Studies in health technology and informatics. 192

An important case for successful deployment of a lifetime electronic health record is reuse of clinical data from the electronic health record (EHR) for epidemiology, reimbursement, and research. We report a collaboration between the IHTSDO and the W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::34b5107a4f3994535905863fdba74ee8
https://pubmed.ncbi.nlm.nih.gov/23920627