Development and evaluation of a clinical note section header terminology
about
Tracking medical students' clinical experiences using natural language processingEvaluation of a method to identify and categorize section headers in clinical documentsRobust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.Selecting information in electronic health records for knowledge acquisitionExtracting and integrating data from entire electronic health records for detecting colorectal cancer casesMedEx: a medication information extraction system for clinical narratives.Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.Modulators of normal electrocardiographic intervals identified in a large electronic medical record.Automated Assessment of Medical Students' Clinical Exposures according to AAMC Geriatric CompetenciesScaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus.Analyzing Operative Note Structure in Development of a Section Header Resource.Junior doctor skill in the art of physical examination: a retrospective study of the medical admission note over four decades.Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.An information extraction framework for cohort identification using electronic health records.A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.TagLine: Information Extraction for Semi-Structured Text in Medical Progress Notes.Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.Comparing content coverage in medical curriculum to trainee-authored clinical notes.Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability.A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction.A study of active learning methods for named entity recognition in clinical textRecognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields.Evaluation of Clinical Text Segmentation to Facilitate Cohort Retrieval.
P2860
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P2860
Development and evaluation of a clinical note section header terminology
description
2008 nî lūn-bûn
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2008年の論文
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年學術文章
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name
Development and evaluation of a clinical note section header terminology
@en
Development and evaluation of a clinical note section header terminology.
@nl
type
label
Development and evaluation of a clinical note section header terminology
@en
Development and evaluation of a clinical note section header terminology.
@nl
prefLabel
Development and evaluation of a clinical note section header terminology
@en
Development and evaluation of a clinical note section header terminology.
@nl
P2093
P2860
P1476
Development and evaluation of a clinical note section header terminology
@en
P2093
Anderson Spickard
Joshua C Denny
Kevin B Johnson
Randolph A Miller
P2860
P304
P577
2008-11-06T00:00:00Z