ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
Graph-based methods for discovery browsing with semantic predications.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed.
- Computational Literature-based Discovery for Natural Products Research: Current State and Future Prospects.Frontiers in bioinformatics · 2022Review
- Drug repurposing for COVID-19 via knowledge graph completion.Journal of biomedical informatics · 2021Article
- Using Literature Based Discovery to Gain Insights Into the Metabolomic Processes of Cardiac Arrest.Frontiers in research metrics and analytics · 2021Article
- Broad-coverage biomedical relation extraction with SemRep.BMC bioinformatics · 2020Article
- Indirect association and ranking hypotheses for literature based discovery.BMC bioinformatics · 2019Article
- A Literature Based Discovery Visualization System with Hierarchical Clustering and Linking Set Associations.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- A systematic review on literature-based discovery workflow.PeerJ. Computer science · 2019Article
- Investigating the role of interleukin-1 beta and glutamate in inflammatory bowel disease and epilepsy using discovery browsing.Journal of biomedical semantics · 2018Article
- Informatics Support for Basic Research in Biomedicine.ILAR journal · 2017Review
- Quantifying and filtering knowledge generated by literature based discovery.BMC bioinformatics · 2017Article
- Context-driven automatic subgraph creation for literature-based discovery.Journal of biomedical informatics · 2015Article
- Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Disease Related Knowledge Summarization Based on Deep Graph Search.BioMed research international · 2015Article
- Enabling online studies of conceptual relationships between medical terms: developing an efficient web platform.JMIR medical informatics · 2014Article
- SKIMMR: facilitating knowledge discovery in life sciences by machine-aided skim reading.PeerJ · 2014Article
- A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications.Journal of biomedical informatics · 2013Article
- Automating case definitions using literature-based reasoning.Applied clinical informatics · 2013Article
- Semantic MEDLINE for discovery browsing: using semantic predications and the literature-based discovery paradigm to elucidate a mechanism for the obesity paradox.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- SemMedDB: a PubMed-scale repository of biomedical semantic predications.Bioinformatics (Oxford, England) · 2012Article
- Discovering discovery patterns with Predication-based Semantic Indexing.Journal of biomedical informatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
We present an extension to literature-based discovery that goes beyond making discoveries to a principled way of navigating through selected aspects of some biomedical domain. The method is a type of "discovery browsing" that guides the user through the research literature on a specified phenomenon. Poorly understood relationships may be explored through novel points of view, and potentially interesting relationships need not be known ahead of time. In a process of "cooperative reciprocity" the user iteratively focuses system output, thus controlling the large number of relationships often generated in literature-based discovery systems. The underlying technology exploits SemRep semantic predications represented as a graph of interconnected nodes (predication arguments) and edges (predicates). The system suggests paths in this graph, which represent chains of relationships. The methodology is illustrated with depressive disorder and focuses on the interaction of inflammation, circadian phenomena, and the neurotransmitter norepinephrine. Insight provided may contribute to enhanced understanding of the pathophysiology, treatment, and prevention of this disorder.
Indexed as
Identifiers
22195216PMC3243228What 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.