Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap.
about
Natural language processing: an introductionApplying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysisIdentifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.Biomedical ontologies in action: role in knowledge management, data integration and decision support.Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.What can natural language processing do for clinical decision support?Combining free text and structured electronic medical record entries to detect acute respiratory infections.CSI-OMIM--Clinical Synopsis Search in OMIM.Epidemic surveillance using an electronic medical record: an empiric approach to performance improvement.Generating a reliable reference standard set for syndromic case classification.MedEx: a medication information extraction system for clinical narratives.Extracting medical information from narrative patient records: the case of medication-related informationInductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports.Towards a framework for developing semantic relatedness reference standards.Determining prominent subdomains in medicine.Automatic processing of spoken dialogue in the home hemodialysis domain.Detection of disease outbreaks by the use of oral manifestations.Challenges in clinical natural language processing for automated disorder normalizationText Mining of Journal Articles for Sleep Disorder Terminologies.Facilitating Clinical Outcomes Assessment through the automated identification of quality measures for prostate cancer surgery.The Clinical Outcomes Assessment Toolkit: a framework to support automated clinical records-based outcomes assessment and performance measurement research.Lessons extracting diseases from discharge summariesAutomatic identification and classification of surgical margin status from pathology reports following prostate cancer surgeryOptimizing A syndromic surveillance text classifier for influenza-like illness: Does document source matter?Identifying medical terms in patient-authored text: a crowdsourcing-based approach.ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.Validating a strategy for psychosocial phenotyping using a large corpus of clinical text.Evaluating the effectiveness of four contextual features in classifying annotated clinical conditions in emergency department reports.
P2860
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P2860
Identifying respiratory findings in emergency department reports for biosurveillance using MetaMap.
description
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Identifying respiratory findin ...... biosurveillance using MetaMap.
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Identifying respiratory findin ...... biosurveillance using MetaMap.
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Identifying respiratory findin ...... biosurveillance using MetaMap.
@en
Identifying respiratory findin ...... biosurveillance using MetaMap.
@nl
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Identifying respiratory findin ...... biosurveillance using MetaMap.
@en
Identifying respiratory findin ...... biosurveillance using MetaMap.
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P2093
P1476
Identifying respiratory findin ...... biosurveillance using MetaMap.
@en
P2093
Brian E Chapman
John N Dowling
Marcelo Fiszman
Thomas C Rindflesch
Wendy W Chapman
P304
P577
2004-01-01T00:00:00Z