Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook
Author:
Affiliation:
1. Sorbonne Université, Université Paris Nord, INSERM, UMR_S 1142, LIMICS, Paris, France
2. Médecine Sorbonne Université, Service de Médecine Fœtale, Hôpital Armand Trousseau, Paris, France
3. AP-HP, DRCI, Paris, France
Abstract
Publisher
Georg Thieme Verlag KG
Subject
General Medicine
Link
http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1702010.pdf
Reference18 articles.
1. Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes;F Dhombres;Yearb Med Inform,2019
2. As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018;F Dhombres;Yearb Med Inform,2018
3. Knowledge Representation and Management, It’s Time to Integrate;F Dhombres;Yearb Med Inform,2017
4. Ontology patterns for the representation of quality changes of cells in time;P Burek;J Biomed Semantics,2019
5. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER;S Denaxas;J Am Med Inform Assoc,2019
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1. Guideline and knowledge management in a digital world;Roadmap to Successful Digital Health Ecosystems;2022
2. Knowledge Representation and Management: Interest in New Solutions for Ontology Curation;Yearbook of Medical Informatics;2021-08
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