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MedCrawler

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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 versioning

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MedCrawler classification

MedCrawler specifications

Software type:: Package/Module
Restrictions to use:: None
Programming languages:: Python
Computer skills:: Advanced
Maintained:: Yes

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
Issue URL:: https://github.com/a-hel/medcrawler/issues

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MedCrawler support

Documentation

Documentation: http://medcrawler.readthedocs.io/en/latest/

Maintainer

Päivi Tammela <>

Credits

Publications

Publications contributions

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

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

Benchmarking

(Xie et al., 2015) Review of natural product databases. Cell proliferation.
PMID: 26009974
(Mohamed et al., 2015) Current status and prospects of computational resources for natural product dereplication: a review. Briefings in bioinformatics.
PMID: 26153512

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