Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
about
Bidirectional RNN for Medical Event Detection in Electronic Health RecordsAssessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) taskA Study of Neural Word Embeddings for Named Entity Recognition in Clinical TextRecent Advances in Clinical Natural Language Processing in Support of Semantic AnalysisNamed Entity Recognition in Chinese Clinical Text Using Deep Neural Network.HARVEST, a longitudinal patient record summarizerThe role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.TaggerOne: joint named entity recognition and normalization with semi-Markov ModelsMapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological ResourceAutomatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuriesAspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Recognizing Question Entailment for Medical Question Answering.Development of phenotype algorithms using electronic medical records and incorporating natural language processing.Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine LearningImproving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion.A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.Normalizing clinical terms using learned edit distance patterns.Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reports.Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.EliIE: An open-source information extraction system for clinical trial eligibility criteria.Automatic Generation of Conditional Diagnostic Guidelines.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.CUILESS2016: a clinical corpus applying compositional normalization of text mentions.Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.Clinical Named Entity Recognition Using Deep Learning Models.A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.Open Globe Injury Patient Identification in Warfare Clinical Notes.Annotation and detection of drug effects in text for pharmacovigilanceComparison of MetaMap and cTAKES for entity extraction in clinical notes
P2860
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P2860
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Evaluating the state of the ar ...... ion of the clinical narrative.
@ast
Evaluating the state of the ar ...... ion of the clinical narrative.
@en
type
label
Evaluating the state of the ar ...... ion of the clinical narrative.
@ast
Evaluating the state of the ar ...... ion of the clinical narrative.
@en
prefLabel
Evaluating the state of the ar ...... ion of the clinical narrative.
@ast
Evaluating the state of the ar ...... ion of the clinical narrative.
@en
P2093
P2860
P1476
Evaluating the state of the ar ...... ion of the clinical narrative.
@en
P2093
Brett R South
David Martinez
Guergana Savova
Hanna Suominen
Lee Christensen
Noémie Elhadad
Sameer Pradhan
Wendy W Chapman
P2860
P304
P356
10.1136/AMIAJNL-2013-002544
P577
2014-08-21T00:00:00Z