Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis
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Improving biomedical information retrieval by linear combinations of different query expansion techniquesChallenges in clinical natural language processing for automated disorder normalizationText Mining of Journal Articles for Sleep Disorder Terminologies.Mining and Visualizing Family History Associations in the Electronic Health Record: A Case Study for Pediatric Asthma.Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study.Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.Interpretable Topic Features for Post-ICU Mortality Prediction.
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P2860
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis
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2014 nî lūn-bûn
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2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
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2014年論文
@zh-mo
2014年論文
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2014年论文
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name
Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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type
label
Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
@ast
Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
@nl
P2093
P2860
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Applying MetaMap to Medline fo ...... ataset: a feasibility analysis
@en
P2093
Alan R Aronson
David A Hanauer
Mohammed Saeed
Naren Ramakrishnan
Qiaozhu Mei
P2860
P304
P3181
P356
10.1136/AMIAJNL-2014-002767
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2014-06-13T00:00:00Z