Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries

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Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

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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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name

Automatic classification of re ...... onomy of diseases and injuries

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Automatic classification of re ...... onomy of diseases and injuries

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Automatic classification of re ...... onomy of diseases and injuries

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Automatic classification of re ...... onomy of diseases and injuries

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Automatic classification of re ...... onomy of diseases and injuries

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Automatic classification of re ...... onomy of diseases and injuries

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P1476

Automatic classification of re ...... onomy of diseases and injuries

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Jean-David Zeitoun

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Ludovic Trinquart

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P2860

ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

Attention to local health burden and the global disparity of health research

GBD 2010: design, definitions, and metrics

Trends in global clinical trial registration: an analysis of numbers of registered clinical trials in different parts of the world from 2004 to 2013

Visual aggregate analysis of eligibility features of clinical trials

Association between randomised trial evidence and global burden of disease: cross sectional study (Epidemiological Study of Randomized Trials--ESORT)

Clustering clinical trials with similar eligibility criteria features

The Unified Medical Language System (UMLS): integrating biomedical terminology.

eTACTS: a method for dynamically filtering clinical trial search results.

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s12859-016-1247-7

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scholarly article

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10.1186/S12859-016-1247-7

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2016-09-22T00:00:00Z

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1021945354

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27659604

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automation

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5034670

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