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GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein DomainsMining consumer health vocabulary from community-generated textGeneralising semantic category disambiguation with large lexical resources for fun and profitDiscovering opinion leaders for medical topics using news articlesComputer-assisted update of a consumer health vocabulary through mining of social network dataEvaluating gold standard corpora against gene/protein tagging solutions and lexical resourcesA three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case studyUsing machine learning for concept extraction on clinical documents from multiple data sources.Web services-based text-mining demonstrates broad impacts for interoperability and process simplification.Supervised segmentation of phenotype descriptions for the human skeletal phenome using hybrid methods.Recognizing scientific artifacts in biomedical literature.Assessment of NER solutions against the first and second CALBC Silver Standard CorpusDetecting abbreviations in discharge summaries using machine learning methods.Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literatureRecognition of medication information from discharge summaries using ensembles of classifiers.The eFIP system for text mining of protein interaction networks of phosphorylated proteins.Towards a semantic lexicon for clinical natural language processing.Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine.Using nanoinformatics methods for automatically identifying relevant nanotoxicology entities from the literature.Pooling annotated corpora for clinical concept extraction.Using empirically constructed lexical resources for named entity recognition.Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.govA study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.Decomposing phenotype descriptions for the human skeletal phenomeUnderstanding disciplinary vocabularies using a full-text enabled domain-independent term extraction approach.
P2860
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P2860
description
article científic
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article scientifique
@fr
articolo scientifico
@it
artigo científico
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bilimsel makale
@tr
scientific article published on 11 December 2008
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
@cs
name
BioTagger-GM: a gene/protein name recognition system.
@en
BioTagger-GM: a gene/protein name recognition system.
@nl
type
label
BioTagger-GM: a gene/protein name recognition system.
@en
BioTagger-GM: a gene/protein name recognition system.
@nl
prefLabel
BioTagger-GM: a gene/protein name recognition system.
@en
BioTagger-GM: a gene/protein name recognition system.
@nl
P2093
P2860
P356
P1476
BioTagger-GM: a gene/protein name recognition system
@en
P2093
Cathy H Wu
Hongfang Liu
Zhangzhi Hu
P2860
P304
P356
10.1197/JAMIA.M2844
P50
P577
2008-12-11T00:00:00Z