Automation of a problem list using natural language processing. - Wikidata - awgldk - TriplyDB

Automation of a problem list using natural language processing.

Automation of a problem list using natural language processing.

http://www.wikidata.org/entity/Q24813434

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Generating executable knowledge for evidence-based medicine using natural language and semantic processing Identifying 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 mining Comparison 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 data Tracking medical students' clinical experiences using natural language processing Evaluation of a method to identify and categorize section headers in clinical documents Tracking medication information across medical records Data from clinical notes: a perspective on the tension between structure and flexible documentation.Selecting information in electronic health records for knowledge acquisition Diabetes 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 entries Automatically detecting medications and the reason for their prescription in clinical narrative text documents Automatically detecting problem list omissions of type 2 diabetes cases using electronic medical records.Building an automated SOAP classifier for emergency department reports Improving 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 analysis Development and evaluation of a clinical note section header terminology Identification 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.

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P2860

Automation of a problem list using natural language processing.

http://www.wikidata.org/entity/Q24813434

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2005 nî lūn-bûn

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2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

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2005年の論文

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Automation of a problem list using natural language processing

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Automation of a problem list using natural language processing.

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Automation of a problem list using natural language processing

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Automation of a problem list using natural language processing.

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Automation of a problem list using natural language processing.

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Automation of a problem list using natural language processing

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Automation of a problem list using natural language processing.

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Automation of a problem list using natural language processing.

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BMC Medical Informatics and Decision Making

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Automation of a problem list using natural language processing.

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Peter J Haug

http://www.w3.org/2001/XMLSchema#string

Stephane Meystre

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P2860

EDGAR: extraction of drugs, genes and relations from the biomedical literature

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

Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.

UMLS concept indexing for production databases: a feasibility study.

Mining molecular binding terminology from biomedical text.

Discharge and referral data exchange using global standards--the SCIPHOX project in Germany.

Automated coded ambulatory problem lists: evaluation of a vocabulary and a data entry tool.

The NLM Indexing Initiative.

Towards linking patients and clinical information: detecting UMLS concepts in e-mail.

IndexFinder: a method of extracting key concepts from clinical texts for indexing

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