ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Exploiting semantic relations for literature-based discovery.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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Who cites it
71 citing papers in PubMed.
- SKiM-GPT: combining biomedical literature-based discovery with large language model hypothesis evaluation.BMC bioinformatics · 2025Article
- Mining impactful discoveries from the biomedical literature.BMC bioinformatics · 2024Article
- Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery.Proceedings. IEEE International Conference on Healthcare Informatics · 2024Article
- Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature.Scientific reports · 2024Article
- Data-Driven Hypothesis Generation in Clinical Research: What We Learned from a Human Subject Study?Medical research archives · 2024Article
- Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.Journal of biomedical informatics · 2023Article
- Automated Detection of Substance-Use Status and Related Information from Clinical Text.Sensors (Basel, Switzerland) · 2022Article
- A haplotype-resolved genome assembly of the Nile rat facilitates exploration of the genetic basis of diabetes.BMC biology · 2022Article
- Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.Journal of biomedical informatics · 2022Article
- Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance.Journal of biomedical informatics · 2021Article
- 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
- Complementing Observational Signals with Literature-Derived Distributed Representations for Post-Marketing Drug Surveillance.Drug safety · 2020Article
- Article
- Exploring Novel Computable Knowledge in Structured Drug Product Labels.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Using literature-based discovery to identify candidate genes for the interaction between myocardial infarction and depression.BMC medical genetics · 2019Article
- Relation path feature embedding based convolutional neural network method for drug discovery.BMC medical informatics and decision making · 2019Article
- A systematic review on literature-based discovery workflow.PeerJ. Computer science · 2019Article
- SemNet: Using Local Features to Navigate the Biomedical Concept Graph.Frontiers in bioengineering and biotechnology · 2019Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
We propose using semantic predications to enhance literature-based discovery (LBD) systems, which currently depend exclusively on co-occurrence of words or concepts in target documents. In this paper, the predications, which are produced by the combined application of two natural language processing systems, BioMedLEE and SemRep, are coupled with an LBD system BITOLA. Initial experiments suggest this approach can uncover new associations that were not possible using previous methods.
Indexed as
Identifiers
17238361PMC1839258What 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.