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Hera

Hera is a web application that combats sexism in healthcare through using a deep learning algorithm to efficiently and effectively predict a patient's chances of having heart disease. By developing an algorithm that is free from systemic bias, Hera provides a more accurate prediction of a patient's chances of having heart disease than a physician.

Deep learning algorithm developed by Bahar (Zeinab) Zoghi. Web app developed by Naba Rizvi.

To run the app:

  • Install Python, CherryPy, TensorFlow, NumPy, and Keras on your PC.
  • Clone the Github repo on your machine, and then navigate to the project directory.
  • Run the command "python server.py"
  • Click on the index.html file in the project folder.

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