Using local lexicalized rules to identify heart disease risk factors in clinical notes
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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.Automatic prediction of coronary artery disease from clinical narratives.Automatic mining of symptom severity from psychiatric evaluation notes.
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Using local lexicalized rules to identify heart disease risk factors in clinical notes
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 29 June 2015
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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Using local lexicalized rules to identify heart disease risk factors in clinical notes
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Using local lexicalized rules to identify heart disease risk factors in clinical notes.
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Using local lexicalized rules to identify heart disease risk factors in clinical notes
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Using local lexicalized rules to identify heart disease risk factors in clinical notes.
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Using local lexicalized rules to identify heart disease risk factors in clinical notes
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Using local lexicalized rules to identify heart disease risk factors in clinical notes.
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P2860
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Using local lexicalized rules to identify heart disease risk factors in clinical notes
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John A Keane
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10.1016/J.JBI.2015.06.013
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2015-06-29T00:00:00Z