Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. - Wikidata - wikimedia - TriplyDB

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

http://www.wikidata.org/entity/Q37129517

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Normalization of relative and incomplete temporal expressions in clinical narratives Evaluating temporal relations in clinical text: 2012 i2b2 Challenge Temporal data representation, normalization, extraction, and reasoning: A review from clinical domain.Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP.Entity recognition from clinical texts via recurrent neural network.Patient-level temporal aggregation for text-based asthma status ascertainment.Ontology-based time information representation of vaccine adverse events in VAERS for temporal analysis.Comparison of Three Information Sources for Smoking Information in Electronic Health Records CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.Correlating Lab Test Results in Clinical Notes with Structured Lab Data: A Case Study in HbA1c and Glucose.Electronic health records-driven phenotyping: challenges, recent advances, and perspectives Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record.A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts.

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P2860

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

http://www.wikidata.org/entity/Q37129517

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 04 April 2013

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Comprehensive temporal informa ...... ime, and TLINK identification.

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AMIAJNL-2013-001622

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Journal of the American Medical Informatics Association

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Comprehensive temporal informa ...... ime, and TLINK identification.

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Cui Tao

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Dingcheng Li

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Hongfang Liu

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Kavishwar B Wagholikar

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Ravikumar Komandur Elayavilli

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Siddhartha R Jonnalagadda

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Sunghwan Sohn

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P2860

Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.

Using machine learning for concept extraction on clinical documents from multiple data sources.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

CNTRO: A Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives.

2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.

CNTRO 2.0: A Harmonized Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives.

Pooling annotated corpora for clinical concept extraction.

Drug side effect extraction from clinical narratives of psychiatry and psychology patients.

Feasibility of pooling annotated corpora for clinical concept extraction

Mayo clinic smoking status classification system: extensions and improvements.

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836-842

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10.1136/AMIAJNL-2013-001622

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2013-04-04T00:00:00Z

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23558168

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3756269

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