Finds, extracts and displays medical terms from blog posts. MedCrawler is a data mining tool for analyzing user-generated blog posts aiming to find modern ‘traditional’ medicine or home remedies. It searches user-generated blog posts and analyzes them for correlations between medically relevant terms. It offers a method to include data from a wide variety of sources and authors, and includes automated information extraction and representation. MedCrawler can be used as a supplementary tool to support sample library design for screening campaigns or to provide a quick overview over modern folklore.

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MedCrawler classification

MedCrawler specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable
Source code URL:
https://github.com/a-hel/medcrawler

Publications

  • (Helfenstein and Tamela, 2016) Analyzing user-generated online content for drug discovery: Development and use of MedCrawler. Bioinformatics.
    PMID: 28011767

MedCrawler support

Documentation

Credits

Institution(s)

Centre for Drug Research, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland

Funding source(s)

This work was supported by the Academy of Finland [grant numbers 284477, 277001].

Link to literature

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