12/12/2023 0 Comments Trials frontier data cube locationsOur query includes MeSH descriptors related to the KRM field in the context of medical informatics with a restriction to international peer-reviewed papers, including international conference proceedings indexed in PubMed. As for the last four years, the search was performed on MEDLINE by querying PubMed. We followed a generic method, commonly used in all sections of the Yearbook since 2013. We conducted the selection of KRM papers in PubMed/MELDINE based on the same query as in the previous edition of the International Medical Informatics Association (IMIA) Yearbook. In this review, we present a selection of some of the best papers published in 2017 in the KRM domain, based either on their impact or the novelty of the approach proposed in the medical knowledge representation and management field. In this context, the nature and impact of ontology is discussed in different papers. In recent years, especially the last two years, we have observed an increasing number of works combining ontology engineering and supervised learning technologies. KRM focuses on the development of techniques to be used and leveraged in other medical informatics domains. The year 2017 has produced a large amount of publications related to Knowledge Representation and Management (KRM) in medicine. New challenges have emerged: the query on distributed semantically annotated datasets, the efficiency of semantic annotation processes, the semantic representation of large textual datasets, the control of biases associated with semantic annotations, and the computation of Bayesian indicators on data annotated with ontologies. Additionally, among the 15 preselected papers, two aspects of KRM are in the spotlight: the design of knowledge bases and new challenges in using ontologies.Ĭonclusions: Ontologies are demonstrating their maturity to integrate medical data and begin to support clinical practices. Results: In direct line with the research on data integration presented in the KRM section of the 2017 edition of the International Medical Informatics Association (IMIA) Yearbook, the five best papers for 2018 demonstrate even further the added-value of ontology-based integration approaches for phenotype-genotype association mining. Methods: A comprehensive and standardized review of the medical informatics literature was performed to select the most interesting papers of KRM published in 2017, based on a PubMed query. Objectives: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM). Ontologies in Action: Knowledge Base Design and Applications.Ontology-based Integration Approaches for Phenotype-genotype Association Mining.
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