Comparison of concept recognizers for building the Open Biomedical Annotator. - Wikidata - wikimedia - TriplyDB

Comparison of concept recognizers for building the Open Biomedical Annotator.

Comparison of concept recognizers for building the Open Biomedical Annotator.

http://www.wikidata.org/entity/Q33504367

about

Mining the Gene Wiki for functional genomic knowledge The National Center for Biomedical Ontology Translational bioinformatics: linking the molecular world to the clinical world Network analysis of unstructured EHR data for clinical research Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes The role of ontologies in biological and biomedical research: a functional perspective Standardizing adverse drug event reporting data Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources Structured digital tables on the Semantic Web: toward a structured digital literature Overlap in drug-disease associations between clinical practice guidelines and drug structured product label indications Pharmacovigilance Using Clinical Notes PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Selected proceedings of the 2009 Summit on Translational Bioinformatics.Comparison of automated and human assignment of MeSH terms on publicly-available molecular datasets Profiling risk factors for chronic uveitis in juvenile idiopathic arthritis: a new model for EHR-based research.An overview of MetaMap: historical perspective and recent advances Discovering and linking public omics data sets using the Omics Discovery Index.Automated semantic annotation of rare disease cases: a case study NOBLE - Flexible concept recognition for large-scale biomedical natural language processing Chapter 9: Analyses using disease ontologies An ontology-neutral framework for enrichment analysis.A Comprehensive Analysis of Five Million UMLS Metathesaurus Terms Using Eighteen Million MEDLINE Citations Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.Protein localization as a principal feature of the etiology and comorbidity of genetic diseases NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources.Towards Structuring Unstructured GenBank Metadata for Enhancing Comparative Biological Studies.Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes.Automating Identification of Multiple Chronic Conditions in Clinical Practice Guidelines Analyzing patterns of drug use in clinical notes for patient safety Using temporal patterns in medical records to discern adverse drug events from indications.Using ontology-based annotation to profile disease research Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.NCBO Technology: Powering semantically aware applications.Using Nonexperts for Annotating Pharmacokinetic Drug-Drug Interaction Mentions in Product Labeling: A Feasibility Study.Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.New Paradigms for Patient-Centered Outcomes Research in Electronic Medical Records: An Example of Detecting Urinary Incontinence Following Prostatectomy.Using rule-based natural language processing to improve disease normalization in biomedical text.

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P2860

Comparison of concept recognizers for building the Open Biomedical Annotator.

http://www.wikidata.org/entity/Q33504367

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2009 nî lūn-bûn

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2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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name

Comparison of concept recognizers for building the Open Biomedical Annotator.

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Comparison of concept recognizers for building the Open Biomedical Annotator.

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Comparison of concept recognizers for building the Open Biomedical Annotator.

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Comparison of concept recognizers for building the Open Biomedical Annotator.

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Comparison of concept recognizers for building the Open Biomedical Annotator.

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Comparison of concept recognizers for building the Open Biomedical Annotator.

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BMC Bioinformatics

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Comparison of concept recognizers for building the Open Biomedical Annotator.

@en

P2093

Annie P Chiang

http://www.w3.org/2001/XMLSchema#string

Clement Jonquet

http://www.w3.org/2001/XMLSchema#string

Daniel Rubin

http://www.w3.org/2001/XMLSchema#string

Nigam H Shah

http://www.w3.org/2001/XMLSchema#string

Nipun Bhatia

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P2860

Overview of BioCreAtIvE: critical assessment of information extraction for biology

Ontology-driven indexing of public datasets for translational bioinformatics

Textpresso: an ontology-based information retrieval and extraction system for biological literature

Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program

BioPortal: ontologies and integrated data resources at the click of a mouse

Literature mining for the biologist: from information retrieval to biological discovery

Annotation and query of tissue microarray data using the NCI Thesaurus

ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text.

Recognition of protein/gene names from text using an ensemble of classifiers.

Automated recognition of malignancy mentions in biomedical literature.

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10 Suppl 9

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