Towards comprehensive syntactic and semantic annotations of the clinical narrative. - Wikidata - wikimedia - TriplyDB

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

http://www.wikidata.org/entity/Q38457117

about

Expansion of medical vocabularies using distributional semantics on Japanese patient blogs Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis Discovering body site and severity modifiers in clinical texts Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing Automatic lymphoma classification with sentence subgraph mining from pathology reports.Patient-level temporal aggregation for text-based asthma status ascertainment.Negation's not solved: generalizability versus optimizability in clinical natural language processing.SimQ: real-time retrieval of similar consumer health questions.Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.Parsing clinical text: how good are the state-of-the-art parsers?An information model for computable cancer phenotypes.Automated Extraction of Substance Use Information from Clinical Texts Computational semantics in clinical text.Domain adaptation for semantic role labeling of clinical text Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium Towards generalizable entity-centric clinical coreference resolution.Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements.Design of an extensive information representation scheme for clinical narratives.Electronic health records-driven phenotyping: challenges, recent advances, and perspectives Automated Radiology Report Summarization Using an Open-Source Natural Language Processing Pipeline.ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records.A computable phenotype for asthma case identification in adult and pediatric patients: External validation in the Chicago Area Patient-Outcomes Research Network (CAPriCORN).Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts.Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.Wikidata: A large-scale collaborative ontological medical database

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P2860

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

http://www.wikidata.org/entity/Q38457117

description

2013 nî lūn-bûn

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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2013年论文

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2013年论文

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name

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

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type

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Towards comprehensive syntactic and semantic annotations of the clinical narrative.

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prefLabel

Towards comprehensive syntactic and semantic annotations of the clinical narrative.

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AMIAJNL-2012-001317

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Journal of the American Medical Informatics Association

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Towards comprehensive syntactic and semantic annotations of the clinical narrative.

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Anwen Fredriksen

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Arrick Lanfranchi

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Colin Warner

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Daniel Albright

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Dmitriy Dligach

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Guergana K Savova

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James Martin

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Jena D Hwang

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Jinho D Choi

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Rodney D Nielsen

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P2860

The MiPACQ clinical question answering system

Exploring semantic groups through visual approaches.

The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes

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

Anaphoric relations in the clinical narrative: corpus creation

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

Building a semantically annotated corpus of clinical texts.

Towards temporal relation discovery from the clinical narrative.

Anaphoric reference in clinical reports: characteristics of an annotated corpus.

A system for coreference resolution for the clinical narrative.

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922-930

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10.1136/AMIAJNL-2012-001317

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