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Mining the History of Medicine

Mining the History of Medicine
挖掘医学史
批准号:
AH/L00982X/1
负责人:
Sophia Ananiadou
金额:
$33.31万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
关键词:

项目摘要

项目成果

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中文摘要
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英文摘要
This project, a cross-disciplinary collaboration between the National Centre for Text Mining (NaCTeM) and the Centre for the History of Science, Technology and Medicine (CHSTM) at the University of Manchester, seeks to demonstrate the potential of text mining in medical history. To do this, firstly an asset will be created out of two very large, long-running digital sources, the British Medical Journal (BMJ) (1840 - present) and the London-area Medical Officer of Health (MOH) reports (1848-1972), by applying text mining techniques to enrich these data with semantic annotations. An important aspect of this work is to build tools to identify and record terminological variation and semantic shift over time, via construction of a temporal terminological inventory from the archives. Then, a semantic search system will be developed to help historians in broadening and deepening their work to ask 'big' questions that cover long periods, without losing sensitivity to changes in terminology and meaning. The resulting asset and tools will be used and evaluated in two case studies, exploring the modern epidemiological transition and the creation of a medical surveillance culture, two massively important and interrelated changes in British health experience, where many questions remain unanswered. The methods and results of the case studies will serve as concrete examples of how such an asset and tools can be used.The text mining tools and derived resources will be made available to the community via an interoperable text mining environment that will be contributed to the repositories of major digital humanities infrastructures (CLARIN, DARIAH, META-SHARE).The project will be guided by an Expert User Advisory Group. Two workshops are planned to receive further guidance from and to inform the wider community.The project plans to extend its impact to the following sectors: public health, public policy, publishing, media and libraries, with a view to ensuring sustainability and wider uptake of methods and technologies.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Enriching news events with meta-knowledge information
用元知识信息丰富新闻事件
DOI: 10.1007/s10579-016-9344-9
发表时间: 2016
期刊: Language Resources and Evaluation
影响因子: 2.7
作者: [Thompson P]
通讯作者: Thompson P
DOI: --
发表时间: 2014-08
期刊:
影响因子: --
作者: [Makoto Miwa;Paul Thompson;Ioannis Korkontzelos;S. Ananiadou]
通讯作者: Makoto Miwa;Paul Thompson;Ioannis Korkontzelos;S. Ananiadou
DOI: 10.1186/1472-6947-15-s2-s3
发表时间: 2015
期刊: BMC medical informatics and decision making
影响因子: 3.5
作者: [Alnazzawi N, Thompson P, Batista-Navarro R, Ananiadou S]
通讯作者: Ananiadou S
DOI: 10.1109/digitalheritage.2015.7413829
发表时间: 2015-09
期刊: 2015 Digital Heritage
影响因子: --
作者: [Paul Thompson;J. McNaught;S. Ananiadou]
通讯作者: Paul Thompson;J. McNaught;S. Ananiadou
8
    Japan Partnering Award. Text mining and bioinformatics platforms for metabolic pathway modelling.
    • 批准号:
      BB/P025684/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $5.07万
    • 财政年份:
      2017
    • 负责人:
      Sophia Ananiadou
    • 依托单位:
    Enriching Metabolic PATHwaY models with evidence from the literature (EMPATHY)
    • 批准号:
      BB/M006891/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $75.68万
    • 财政年份:
      2015
    • 负责人:
      Sophia Ananiadou
    • 依托单位:
    Supporting Evidence-based Public Health Interventions using Text Mining
    • 批准号:
      MR/L01078X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $83.55万
    • 财政年份:
      2014
    • 负责人:
      Sophia Ananiadou
    • 依托单位:
    Automated Biological Event Extraction from the Literature for Drug Discovery
    • 批准号:
      BB/G013160/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $36.76万
    • 财政年份:
      2009
    • 负责人:
      Sophia Ananiadou
    • 依托单位:
    海外基金