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healthcare

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Robert-W
Robert-W commented Dec 17, 2018

Do you want to request a feature, improve documentation, or ask a question?

Improve Documentation. We have merged many PR's that have added new features, changed configurations, etc. We should update the wiki to include all these additions.

TODO:

  • Review merged PR's and add items to the list below.

Things to add to the wiki:

  • #108 Improve auth documentation, provide exam
jniles
jniles commented Nov 15, 2018

We seem to refer to the same thing in three different ways: "Job Title", "Profession" or "Function". These three names are used interchangably in the tests, code, variable names, and translation keys. In my mind, we are better served by picking one and renaming all references to being the same thing. I would propose we use "professions" since that is recognizable and easier to manipulate than "

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

  • Updated Feb 13, 2019
  • Jupyter Notebook

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