Evaluation of a method to identify and categorize section headers in clinical documents - Wikidata - thesis-toulmin - TriplyDB

Evaluation of a method to identify and categorize section headers in clinical documents

Evaluation of a method to identify and categorize section headers in clinical documents

http://www.wikidata.org/entity/Q33498342

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Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science Natural language processing: an introduction Developing a natural language processing application for measuring the quality of colonoscopy procedures A supervised framework for resolving coreference in clinical records 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 Trends in biomedical informatics: most cited topics from recent years Section level search functionality in Europe PMC.An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data Applying active learning to high-throughput phenotyping algorithms for electronic health records data Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.A genome-wide association study of heparin-induced thrombocytopenia using an electronic medical record.Influence of human leukocyte antigen (HLA) alleles and killer cell immunoglobulin-like receptors (KIR) types on heparin-induced thrombocytopenia (HIT).Data from clinical notes: a perspective on the tension between structure and flexible documentation.Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.Selecting information in electronic health records for knowledge acquisition The use of regional platforms for managing electronic health records for the production of regional public health indicators in France.MedEx: a medication information extraction system for clinical narratives.Integrating existing natural language processing tools for medication extraction from discharge summaries.Chapter 13: Mining electronic health records in the genomics era.Developing a section labeler for clinical documents.Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notes.Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis.Building an automated SOAP classifier for emergency department reports Portability of an algorithm to identify rheumatoid arthritis in electronic health records.v3NLP Framework: Tools to Build Applications for Extracting Concepts from Clinical Text Desiderata for computable representations of electronic health records-driven phenotype algorithms.Predefined headings in a multiprofessional electronic health record system.Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations.Scaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus.The effect of reducing maximum shift lengths to 16 hours on internal medicine interns' educational opportunities Electronic medical records for genetic research: results of the eMERGE consortium Genome- and phenome-wide analyses of cardiac conduction identifies markers of arrhythmia risk.Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance Analyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge Automated identification of drug and food allergies entered using non-standard terminology.An information extraction framework for cohort identification using electronic health records.Word Sense Disambiguation of clinical abbreviations with hyperdimensional computing.

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P2860

Evaluation of a method to identify and categorize section headers in clinical documents

http://www.wikidata.org/entity/Q33498342

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2009 nî lūn-bûn

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2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի օգոստոսին 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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Evaluation of a method to identify and categorize section headers in clinical documents

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Evaluation of a method to identify and categorize section headers in clinical documents

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Evaluation of a method to identify and categorize section headers in clinical documents

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Evaluation of a method to identify and categorize section headers in clinical documents

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Evaluation of a method to identify and categorize section headers in clinical documents

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Evaluation of a method to identify and categorize section headers in clinical documents

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Journal of the American Medical Informatics Association

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Evaluation of a method to identify and categorize section headers in clinical documents

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Anderson Spickard

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Josh F Peterson

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Kevin B Johnson

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Neeraja B Peterson

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Randolph A Miller

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P2860

Interface terminologies: facilitating direct entry of clinical data into electronic health record systems

How well do second-year students learn physical diagnosis? Observational study of an Objective Structured Clinical Examination (OSCE)

A controlled trial of automated classification of negation from clinical notes.

Automation of a problem list using natural language processing.

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

UMLS concept indexing for production databases: a feasibility study.

"Understanding" medical school curriculum content using KnowledgeMap

The Unified Medical Language System: an informatics research collaboration.

Tracking medical students' clinical experiences using natural language processing

Natural language processing and the representation of clinical data.

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10.1197/JAMIA.M3037

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