Volume 9 Supplement 3
Proceedings of the Second International Symposium on Languages in Biology and Medicine (LBM) 2007
Proceedings
Edited by Christopher JO Baker and Su Jian
The Second International Symposium on Languages in Biology and Medicine (LBM) 2007. Go to conference site.
Singapore6-7 December 2007
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Citation: BMC Bioinformatics 2008 9(Suppl 3):S1
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Normalizing biomedical terms by minimizing ambiguity and variability
One of the difficulties in mapping biomedical named entities, e.g. genes, proteins, chemicals and diseases, to their concept identifiers stems from the potential variability of the terms. Soft string matching ...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S2 -
Assessment of disease named entity recognition on a corpus of annotated sentences
In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and gene ontology terms (GO terms). Other sema...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S3 -
Exploiting and integrating rich features for biological literature classification
Efficient features play an important role in automated text classification, which definitely facilitates the access of large-scale data. In the bioscience field, biological structures and terminologies are des...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S4 -
New challenges for text mining: mapping between text and manually curated pathways
Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S5 -
Comparative analysis of five protein-protein interaction corpora
Growing interest in the application of natural language processing methods to biomedical text has led to an increasing number of corpora and methods targeting protein-protein interaction (PPI) extraction. Howe...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S6 -
Monitoring the evolutionary aspect of the Gene Ontology to enhance predictability and usability
Much effort is currently made to develop the Gene Ontology (GO). Due to the dynamic nature of information it addresses, GO undergoes constant updates whose results are released at regular intervals as separate...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S7 -
Structuring an event ontology for disease outbreak detection
This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natural language text. This event ontology is ...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S8 -
Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction
This paper describes and evaluates a sentence selection engine that extracts a GeneRiF (Gene Reference into Functions) as defined in ENTREZ-Gene based on a MEDLINE record. Inputs for this task include both a g...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S9 -
Automatic construction of rule-based ICD-9-CM coding systems
In this paper we focus on the problem of automatically constructing ICD-9-CM coding systems for radiology reports. ICD-9-CM codes are used for billing purposes by health institutes and are assigned to clinical...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S10 -
Identification of transcription factor contexts in literature using machine learning approaches
Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While manual literature curation is expensive and l...
Citation: BMC Bioinformatics 2008 9(Suppl 3):S11
Annual Journal Metrics
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Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 3.6
Source Normalized Impact per Paper (SNIP): 0.821
SCImago Journal Rank (SJR): 1.005
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Submission to first editorial decision (median days): 12
Submission to acceptance (median days): 146
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