Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.
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SHRINE: enabling nationally scalable multi-site disease studiesKneeTex: an ontology-driven system for information extraction from MRI reportsBuilding a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn projectExtracting information from the text of electronic medical records to improve case detection: a systematic reviewNatural language processing: an introductionAn autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disordersBiomedical relation extraction: from binary to complexCoreference resolution: a review of general methodologies and applications in the clinical domainMining electronic health records: towards better research applications and clinical careText mining resources for the life sciences.Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1Clinical research informatics: a conceptual perspectiveNetwork analysis of unstructured EHR data for clinical researchDeveloping a natural language processing application for measuring the quality of colonoscopy proceduresFinding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert AnnotationsTrends in biomedical informatics: automated topic analysis of JAMIA articlesNormalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sourcesCombining knowledge- and data-driven methods for de-identification of clinical narrativesA Study of Neural Word Embeddings for Named Entity Recognition in Clinical TextRecent Advances in Clinical Natural Language Processing in Support of Semantic AnalysisIdentification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health RecordsNamed Entity Recognition in Chinese Clinical Text Using Deep Neural Network.Automatically Detecting Acute Myocardial Infarction Events from EHR Text: A Preliminary StudyDetection of sentence boundaries and abbreviations in clinical narrativesDynamic clinical data mining: search engine-based decision supportBig data in medicine is driving big changesStandardizing adverse drug event reporting dataChronology of your health events: approaches to extracting temporal relations from medical narrativesProcessing biological literature with customizable Web services supporting interoperable formatsDiscovering body site and severity modifiers in clinical textsA corpus-based approach for automated LOINC mappingCross-sectional relatedness between sentences in breast radiology reports: development of an SVM classifier and evaluation against annotations of five breast radiologistsEvaluating temporal relations in clinical text: 2012 i2b2 ChallengeBoB, a best-of-breed automated text de-identification system for VHA clinical documentsGeneralizability and comparison of automatic clinical text de-identification methods and resourcesMining the pharmacogenomics literature--a survey of the state of the artThe MiPACQ clinical question answering systemA cloud-based approach to medical NLPTrends in biomedical informatics: most cited topics from recent years
P2860
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P2860
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Mayo clinical Text Analysis an ...... t evaluation and applications.
@ast
Mayo clinical Text Analysis an ...... t evaluation and applications.
@en
Mayo clinical Text Analysis an ...... t evaluation and applications.
@nl
type
label
Mayo clinical Text Analysis an ...... t evaluation and applications.
@ast
Mayo clinical Text Analysis an ...... t evaluation and applications.
@en
Mayo clinical Text Analysis an ...... t evaluation and applications.
@nl
prefLabel
Mayo clinical Text Analysis an ...... t evaluation and applications.
@ast
Mayo clinical Text Analysis an ...... t evaluation and applications.
@en
Mayo clinical Text Analysis an ...... t evaluation and applications.
@nl
P2093
P2860
P1476
Mayo clinical Text Analysis an ...... t evaluation and applications.
@en
P2093
Christopher G Chute
Guergana K Savova
Jiaping Zheng
Karin C Kipper-Schuler
Philip V Ogren
Sunghwan Sohn
P2860
P304
P356
10.1136/JAMIA.2009.001560
P577
2010-09-01T00:00:00Z