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      Our journey to digital curation of the Jeghers Medical Index

      case-report
      , MLS, , MD, MT, , , PhD
      Journal of the Medical Library Association : JMLA
      Medical Library Association

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          Abstract

          Background

          Harold Jeghers, a well-known medical educator of the twentieth century, maintained a print collection of about one million medical articles from the late 1800s to the 1990s. This case study discusses how a print collection of these articles was transformed to a digital database.

          Case Presentation

          Staff in the Jeghers Medical Index, St. Elizabeth Youngstown Hospital, converted paper articles to Adobe portable document format (PDF)/A-1a files. Optical character recognition was used to obtain searchable text. The data were then incorporated into a specialized database. Lastly, articles were matched to PubMed bibliographic metadata through automation and human review. An online database of the collection was ultimately created. The collection was made part of a discovery search service, and semantic technologies have been explored as a method of creating access points.

          Conclusions

          This case study shows how a small medical library made medical writings of the nineteenth and twentieth centuries available in electronic format for historic or semantic research, highlighting the efficiencies of contemporary information technology.

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          Most cited references9

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          Generalized intestinal polyposis and melanin spots of the oral mucosa, lips and digits; a syndrome of diagnostic significance.

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            Text Mining the History of Medicine

            Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining (TM) methods can help, through their ability to recognise various types of semantic information automatically, e.g., instances of concepts (places, medical conditions, drugs, etc.), synonyms/variant forms of concepts, and relationships holding between concepts (which drugs are used to treat which medical conditions, etc.). TM analysis allows search systems to incorporate functionality such as automatic suggestions of synonyms of user-entered query terms, exploration of different concepts mentioned within search results or isolation of documents in which concepts are related in specific ways. However, applying TM methods to historical text can be challenging, according to differences and evolutions in vocabulary, terminology, language structure and style, compared to more modern text. In this article, we present our efforts to overcome the various challenges faced in the semantic analysis of published historical medical text dating back to the mid 19th century. Firstly, we used evidence from diverse historical medical documents from different periods to develop new resources that provide accounts of the multiple, evolving ways in which concepts, their variants and relationships amongst them may be expressed. These resources were employed to support the development of a modular processing pipeline of TM tools for the robust detection of semantic information in historical medical documents with varying characteristics. We applied the pipeline to two large-scale medical document archives covering wide temporal ranges as the basis for the development of a publicly accessible semantically-oriented search system. The novel resources are available for research purposes, while the processing pipeline and its modules may be used and configured within the Argo TM platform.
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              Very remarkable case of familial polyposis of mucous membrane of intestinal tract and nasopharynx accompanied by peculiar pigmentations of skin and mucous membrane; in Dutch.

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                Author and article information

                Journal
                J Med Libr Assoc
                J Med Libr Assoc
                mlab
                Journal of the Medical Library Association : JMLA
                Medical Library Association (65 East Wacker Place, Suite 1900, Chicago, IL 60601-7246 )
                1536-5050
                1558-9439
                July 2017
                01 July 2017
                : 105
                : 3
                : 249-253
                Article
                jmla-105-249
                10.5195/jmla.2017.47
                5490703
                64343cf9-67ef-46e5-9a48-408c7349cefb
                Copyright: © 2017, Authors.

                Articles in this journal are licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 01 October 2016
                : 01 January 2017
                Categories
                Case Study

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