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Evaluating the state of the art in coreference resolution for electronic medical records

Evaluating the state of the art in coreference resolution for electronic medical records

http://www.wikidata.org/entity/Q28728352

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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis Chronology of your health events: approaches to extracting temporal relations from medical narratives Evaluating temporal relations in clinical text: 2012 i2b2 Challenge A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.A classification approach to coreference in discharge summaries: 2011 i2b2 challenge "Big data" and the electronic health record.Managing free text for secondary use of health data.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.Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.The contribution of co-reference resolution to supervised relation detection between bacteria and biotopes entities Creation of a new longitudinal corpus of clinical narratives.Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.Sortal anaphora resolution to enhance relation extraction from biomedical literature.Coreference resolution of medical concepts in discharge summaries by exploiting contextual information.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.A Study of Concept Extraction Across Different Types of Clinical Notes.Temporal reasoning over clinical text: the state of the art Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.Combining glass box and black box evaluations in the identification of heart disease risk factors and their temporal relations from clinical records.Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case study.A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain.An Infinite Mixture Model for Coreference Resolution in Clinical Notes Annotating temporal information in clinical narratives Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries.Towards generalizable entity-centric clinical coreference resolution.Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.Automatic Generation of Conditional Diagnostic Guidelines.Electronic health records-driven phenotyping: challenges, recent advances, and perspectives Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation.Clinical Information Extraction Applications: A Literature Review.A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.Semantic annotation of consumer health questions.

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P2860

Evaluating the state of the art in coreference resolution for electronic medical records

http://www.wikidata.org/entity/Q28728352

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Evaluating the state of the art in coreference resolution for electronic medical records

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Evaluating the state of the art in coreference resolution for electronic medical records

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Journal of the American Medical Informatics Association

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Evaluating the state of the art in coreference resolution for electronic medical records

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Andreea Bodnari

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Brett R South

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John Pestian

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Shuying Shen

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Tyler Forbush

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P2860

Coreference resolution: a review of general methodologies and applications in the clinical domain

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

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

Recognizing obesity and comorbidities in sparse data.

Tracking medication information across medical records

Extracting medication information from clinical text.

Anaphoric relations in the clinical narrative: corpus creation

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

Evaluating the state-of-the-art in automatic de-identification.

MCORES: a system for noun phrase coreference resolution for clinical records

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