Automation of a problem list using natural language processing.
about
Generating executable knowledge for evidence-based medicine using natural language and semantic processingIdentifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.Data preparation framework for preprocessing clinical data in data miningComparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data.Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.Problem-centric organization and visualization of patient imaging and clinical dataTracking medical students' clinical experiences using natural language processingEvaluation of a method to identify and categorize section headers in clinical documentsTracking medication information across medical recordsData from clinical notes: a perspective on the tension between structure and flexible documentation.Selecting information in electronic health records for knowledge acquisitionDiabetes and asthma case identification, validation, and representativeness when using electronic health data to construct registries for comparative effectiveness and epidemiologic research.Aligning Structured and Unstructured Medical Problems Using UMLS.Corpus-Based Problem Selection for EHR Note Summarization.Implementation of Chest X-ray Observation Report Entry System.Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entriesAutomatically detecting medications and the reason for their prescription in clinical narrative text documentsAutomatically detecting problem list omissions of type 2 diabetes cases using electronic medical records.Building an automated SOAP classifier for emergency department reportsImproving the sensitivity of the problem list in an intensive care unit by using natural language processing.Disseminating natural language processed clinical narratives.Enhancing clinical concept extraction with distributional semantics.Scaling 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.Validation of an association rule mining-based method to infer associations between medications and problems.Building an automated problem list based on natural language processing: lessons learned in the early phase of development.Content and structure of clinical problem lists: a corpus analysisDevelopment and evaluation of a clinical note section header terminologyIdentification of inactive medications in narrative medical text.Semantic annotation of clinical events for generating a problem list.Semantic relations for problem-oriented medical records.Identification of documented medication non-adherence in physician notes.Open issues in intelligent personal health record--an updated status report for 2012.Enabling claims-based decision support through non-interruptive capture of admission diagnoses and provider billing codes.Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners.Natural language processing framework to assess clinical conditions.A bibliometric analysis of natural language processing in medical research.
P2860
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P2860
Automation of a problem list using natural language processing.
description
2005 nî lūn-bûn
@nan
2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Automation of a problem list using natural language processing
@nl
Automation of a problem list using natural language processing.
@ast
Automation of a problem list using natural language processing.
@en
type
label
Automation of a problem list using natural language processing
@nl
Automation of a problem list using natural language processing.
@ast
Automation of a problem list using natural language processing.
@en
prefLabel
Automation of a problem list using natural language processing
@nl
Automation of a problem list using natural language processing.
@ast
Automation of a problem list using natural language processing.
@en
P2860
P356
P1476
Automation of a problem list using natural language processing.
@en
P2093
Peter J Haug
Stephane Meystre
P2860
P2888
P356
10.1186/1472-6947-5-30
P407
P577
2005-08-31T00:00:00Z
P5875
P6179
1038060239