about
Applications of text mining within systematic reviewsThesaurus-based disambiguation of gene symbols.Automatic extraction of candidate nomenclature terms using the doublet method.PSE: a tool for browsing a large amount of MEDLINE/PubMed abstracts with gene names and common words as the keywords.A framework for ontology-based question answering with application to parasite immunologyMining consumer health vocabulary from community-generated textA corpus-based approach for automated LOINC mappingOntoGene in BioCreative IIExtraction of chemical-induced diseases using prior knowledge and textual informationToward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.Computer-assisted update of a consumer health vocabulary through mining of social network dataIssues in learning an ontology from text.BioDEAL: community generation of biological annotations.BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literatureMining protein function from text using term-based support vector machinesFacilitating the development of controlled vocabularies for metabolomics technologies with text mining.Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data.Distinguishing the species of biomedical named entities for term identificationWhat can natural language processing do for clinical decision support?Looking at cerebellar malformations through text-mined interactomes of mice and humansBiomedical text mining and its applications.Evaluating gold standard corpora against gene/protein tagging solutions and lexical resourcesDisclosing ambiguous gene aliases by automatic literature profilingUnlocking echocardiogram measurements for heart disease research through natural language processing.Bio-Ontology and text: bridging the modeling gap.Using machine learning for concept extraction on clinical documents from multiple data sources.Rewriting and suppressing UMLS terms for improved biomedical term identification.PhenoGO: assigning phenotypic context to gene ontology annotations with natural language processing.Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data.Quantitative assessment of dictionary-based protein named entity tagging.Identifying named entities from PubMed for enriching semantic categories.A comparison of Intelligent Mapper and document similarity scores for mapping local radiology terms to LOINCTerm identification methods for consumer health vocabulary development.Literature retrieval and mining in bioinformatics: state of the art and challengesAutomatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selectionRecognition of medication information from discharge summaries using ensembles of classifiers.Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine.Introducing meta-services for biomedical information extractionLinking genes to literature: text mining, information extraction, and retrieval applications for biologyA text-mining perspective on the requirements for electronically annotated abstracts.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Term identification in the biomedical literature.
@ast
Term identification in the biomedical literature.
@en
type
label
Term identification in the biomedical literature.
@ast
Term identification in the biomedical literature.
@en
prefLabel
Term identification in the biomedical literature.
@ast
Term identification in the biomedical literature.
@en
P1476
Term identification in the biomedical literature.
@en
P304
P356
10.1016/J.JBI.2004.08.004
P577
2004-12-01T00:00:00Z