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Exact graph-based analysis of scientific articles on clinical trials

Ilya Levin
doi: https://doi.org/10.1101/164475
Ilya Levin
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Abstract

This article describes Amorpha, a software package based on new concept of exact graph-based linguistic analysis. Analytical capabilities of Amorpha are demonstrated using analysis of scientific abstracts on clinical trials from PubMed. Current trends in therapy of breast cancer and psoriatic arthritis were analyzed using 400 abstracts on breast cancer and 131 abstracts on psoriatic arthritis. The spectrum of diseases that currently treated with paclitaxel was extracted from 400 most recent abstracts on paclitaxel.

In addition to text representation, analytical results are presented as graph images showing essential concepts of a text. Amorpha is not designed specifically to analyze clinical trials and will be also useful for analysis of biological scientific articles and regulatory documents. Amorpha does not require any preliminary knowledge base, ensures full coverage of target text and 100% accuracy of obtained results.

Footnotes

  • ilyal_01{at}yahoo.com

  • If you are interested in new analysis with Amorpha software, please contact the author using the e-mail ilyal_01{at}yahoo.com.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 21, 2017.
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Exact graph-based analysis of scientific articles on clinical trials
Ilya Levin
bioRxiv 164475; doi: https://doi.org/10.1101/164475
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Exact graph-based analysis of scientific articles on clinical trials
Ilya Levin
bioRxiv 164475; doi: https://doi.org/10.1101/164475

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