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Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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A Systematic Approach to Configuring MetaMap for Optimal Performance.

Xia Jing1, Akash Indani2, Nina Hubig2

  • 1Department of Public Health Sciences, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, South Carolina, United States.

Methods of Information in Medicine
|May 25, 2022
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Summary

This study presents a systematic method for configuring MetaMap, a biomedical concept identification tool. A data-driven approach combining objective evidence with existing practices optimizes MetaMap performance for better results.

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Area of Science:

  • Biomedical informatics
  • Natural Language Processing
  • Computational linguistics

Background:

  • MetaMap is a crucial tool for identifying biomedical concepts within text.
  • Configuring MetaMap for optimal performance is challenging due to its complexity.

Purpose of the Study:

  • To establish a systematic, data-driven methodology for optimizing MetaMap configurations.
  • To provide objective evidence for guiding MetaMap setup.

Main Methods:

  • A pipeline integrating MetaMap, word2vec, and phrase models was developed.
  • Unsupervised training utilized clinical decision support abstracts.
  • MetaMap configurations were tested with varying behavior options, and similarity scores (cosine and soft cosine) were computed against gold-standard terms.

Main Results:

  • Soft cosine similarity scores outperformed cosine similarity scores.
  • Exact match percentages ranged from 0.56-0.8, with missing terms from 0.09-0.3.
  • Average precision, recall, and F-measure were calculated for exact matches and missing terms, indicating performance variations across configurations.

Conclusions:

  • A systematic approach offers objective evidence for optimizing MetaMap.
  • Combining objective data with experience-based strategies enhances MetaMap configuration.
  • The proposed methodology, including workflows and results, serves as a valuable reference for MetaMap optimization.