Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

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Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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Using data-driven sublanguage ...... orts knowledge representation.

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Using data-driven sublanguage ...... orts knowledge representation.

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label

Using data-driven sublanguage ...... orts knowledge representation.

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Using data-driven sublanguage ...... orts knowledge representation.

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Using data-driven sublanguage ...... orts knowledge representation.

@en

Using data-driven sublanguage ...... orts knowledge representation.

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P1476

Using data-driven sublanguage ...... orts knowledge representation.

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P2093

Hongfang Liu

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Nooshin J Fesharaki

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Yiqing Zhao

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P2860

Discovering body site and severity modifiers in clinical texts

PubTator: a web-based text mining tool for assisting biocuration

Extraction of semantic biomedical relations from text using conditional random fields

DISEASES: Text mining and data integration of disease–gene associations

Using contextual and lexical features to restructure and validate the classification of biomedical concepts

Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership

Aggregating UMLS semantic types for reducing conceptual complexity.

Problem-centric organization and visualization of patient imaging and clinical data

Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing.

Improved identification of noun phrases in clinical radiology reports using a high-performance statistical natural language parser augmented with the UMLS specialist lexicon.

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s12911-018-0645-3

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scholarly article

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10.1186/S12911-018-0645-3

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Jake Luo

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2018-07-06T00:00:00Z

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1105335296

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29980203

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6035419

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