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JonathanFeenstra/BATMAN

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BATMAN

Biomedical Article Text Mining ApplicatioN

Web application for visualizing the health effects of bitter gourd and yam compounds, based on our results from text mining PubMed abstracts.

screenshot

Info for our practice teacher, Thijn van Kempen (@ThijnsGit)

This project was graded 8.4/10.0 by the HAN University of Applied Sciences.

Authors

HAN BIN-2c project group 8 (course 8 2018)

  • Jonathan Feenstra - Project leader, software engineer, database designer & web developer - JonathanFeenstra
  • Fini De Gruyter - Biologist & text mining specialist - FiniDG-HAN
  • Alex Janse - Software designer & database administrator - grimcode
  • Thijs Weenink - Text mining software developer - youixentoo

All Batman-related material is trademarked by DC Comics.

Getting started

Run app.py and open 127.0.0.1:5000/ in your browser, or run this project on a server.

Prerequisites

Install using pip:

pip install flask

Built with

License

This project is licensed under the MIT License.

This does not include any content which is copyrighted by third parties.

Acknowledgements

  • Special thanks to Traversy Media for their tutorials on HTML, CSS and Flask.