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Introduction to biomedical literature text mining: context and objectives.

Jeffrey D Saffer1, Vicki L Burnett

  • 1Quertle LLC, 2505 Anthem Village Dr. Suite E170, Henderson, NV, 89052, USA, saffer@quertle.com.

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The growing volume of biomedical literature presents significant challenges for information retrieval. Navigating millions of articles requires advanced strategies to efficiently find crucial scientific data.

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Area of Science:

  • Biomedical Informatics
  • Information Science

Background:

  • The biomedical literature is a critical information source for researchers and practitioners.
  • The exponential growth of published research presents challenges in information discovery.
  • Existing search methods struggle to cope with the vastness of the biomedical corpus.

Purpose of the Study:

  • To highlight the challenges associated with retrieving relevant information from the expanding biomedical literature.
  • To prepare readers for strategies to overcome information overload in scientific research.

Main Methods:

  • This work is an introductory review identifying key challenges.
  • It analyzes the scale of the biomedical literature and its implications for search.

Main Results:

  • The sheer volume of biomedical articles (over 25 million) makes information retrieval increasingly difficult.
  • Finding relevant information becomes exponentially harder as the number of documents increases.

Conclusions:

  • The exponential growth of biomedical literature necessitates new approaches to information retrieval.
  • Effective strategies are crucial for researchers to navigate and utilize the vast scientific corpus.