Extracting phenotypic information from the literature via natural language processing.
about
Evaluation of an Ontology-anchored Natural Language-based Approach for Asserting Multi-scale Biomolecular Networks for Systems MedicineNatural language processing: an introductionIdentifying plausible adverse drug reactions using knowledge extracted from the literatureLearning to recognize phenotype candidates in the auto-immune literature using SVM re-rankingA flexible framework for deriving assertions from electronic medical recordsGenerating executable knowledge for evidence-based medicine using natural language and semantic processingFunctional evaluation of out-of-the-box text-mining tools for data-mining tasks.Automated recognition of malignancy mentions in biomedical literature.PhenoGO: an integrated resource for the multiscale mining of clinical and biological data.What can natural language processing do for clinical decision support?Information theory applied to the sparse gene ontology annotation network to predict novel gene functionVisualizing information across multidimensional post-genomic structured and textual databases.Selecting information in electronic health records for knowledge acquisitionPhenoGO: assigning phenotypic context to gene ontology annotations with natural language processing.Automated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE).Using text mining techniques to extract phenotypic information from the PhenoCHF corpusLiterature retrieval and mining in bioinformatics: state of the art and challengesAutomatically Detecting Failures in Natural Language Processing Tools for Online Community Text.Automated acquisition of disease drug knowledge from biomedical and clinical documents: an initial study.Detection of practice pattern trends through Natural Language Processing of clinical narratives and biomedical literatureUse of semantic features to classify patient smoking status.Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study.Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.Semantic relations for problem-oriented medical records.Natural language processing in the molecular imaging domain.A natural language processing (NLP) tool to assist in the curation of the laboratory Mouse Tumor Biology Database.Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.
P2860
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P2860
Extracting phenotypic information from the literature via natural language processing.
description
2004 nî lūn-bûn
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2004年の論文
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2004年学术文章
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2004年学术文章
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2004年学术文章
@zh-cn
2004年学术文章
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2004年学术文章
@zh-my
2004年学术文章
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2004年學術文章
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name
Extracting phenotypic information from the literature via natural language processing.
@en
Extracting phenotypic information from the literature via natural language processing.
@nl
type
label
Extracting phenotypic information from the literature via natural language processing.
@en
Extracting phenotypic information from the literature via natural language processing.
@nl
prefLabel
Extracting phenotypic information from the literature via natural language processing.
@en
Extracting phenotypic information from the literature via natural language processing.
@nl
P1476
Extracting phenotypic information from the literature via natural language processing
@en
P2093
Carol Friedman
Lifeng Chen
P304
P577
2004-01-01T00:00:00Z