ReviewYearbook of medical informatics2019
Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.
Review in Yearbook of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Models.Journal of Korean medical science · 2026Article
- Knowledge Representation and Management: 2023 Highlights and the Rise of Knowledge Graph Embeddings.Yearbook of medical informatics · 2024Review
- Knowledge Representation and Management 2022: Findings in Ontology Development and Applications.Yearbook of medical informatics · 2023Review
- Microbial Dark Matter: from Discovery to Applications.Genomics, proteomics & bioinformatics · 2022Review
- Knowledge Representation and Management: Notable Contributions in 2021.Yearbook of medical informatics · 2022Article
- FCGR2C: An emerging immune gene for predicting sepsis outcome.Frontiers in immunology · 2022Article
- Biomedical Ontologies to Guide AI Development in Radiology.Journal of digital imaging · 2021Review
- Knowledge Representation and Management: Interest in New Solutions for Ontology Curation.Yearbook of medical informatics · 2021Review
- Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook.Yearbook of medical informatics · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo select, present, and summarize the best papers published in 2018 in the field of Knowledge Representation and Management (KRM).
methodsA comprehensive and standardized review of the medical informatics literature was performed to select the most interesting papers published in 2018 in KRM, based on PubMed and ISI Web Of Knowledge queries.
resultsFour best papers were selected among the 962 publications retrieved following the Yearbook review process. The research areas in 2018 were mainly related to the ontology-based data integration for phenotype-genotype association mining, the design of ontologies and their application, and the semantic annotation of clinical texts.
conclusionIn the KRM selection for 2018, research on semantic representations demonstrated their added value for enhanced deep learning approaches in text mining and for designing novel bioinformatics pipelines based on graph databases. In addition, the ontology structure can enrich the analyses of whole genome expression data. Finally, semantic representations demonstrated promising results to process phenotypic big data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.