Meta-generalis: A novel method for structuring information from radiology reports

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Meta-generalis: A novel method for structuring information from radiology reports

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2016 nî lūn-bûn

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2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

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2016年论文

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2016年论文

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Meta-generalis: A novel method for structuring information from radiology reports

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Meta-generalis: A novel method for structuring information from radiology reports

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Meta-generalis: A novel method for structuring information from radiology reports

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P1476

Meta-generalis: A novel method for structuring information from radiology reports

@en

P2093

Agma Jucci Traina

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Flavio Barbosa

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Valdair Francisco Muglia

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P2860

Craniocervical junction fusions in patients with hindbrain herniation and syringohydromyelia.

A general natural-language text processor for clinical radiology

Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports.

[Health information systems: integrating clinical data in different scenarios and users].

Clinician preferences for verbal communication compared to EHR documentation in the ICU.

Information extraction from multi-institutional radiology reports

Consensus conference on core radiological parameters to describe lumbar stenosis - an initiative for structured reporting.

Intelligent image retrieval based on radiology reports.

Creating and curating a terminology for radiology: ontology modeling and analysis.

SNOMED RT: a reference terminology for health care.

P304

803-816

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P31

scholarly article

P356

10.4338/ACI-2016-03-RA-0037

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P433

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P478

http://www.w3.org/2001/XMLSchema#string

P577

2016-08-24T00:00:00Z

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P698

27580980

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P932

5052551

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