Hi @isms,
Thanks for your response and your recommendation, I appreciate it!
The main idea of this project is to expose the mentee to the intersection of medical diagnosis and ML. But we are also taking this opportunity to teach life skills of reading others code, leveraging open research and contributing back. And yes, it is pretty ambitious to make further improvements to the prediction part in this time frame.
With respect to your recommendation: Are you suggesting a supervised classification approach? If so, do you know if there exists a training set for it?
In terms of starter tasks in prediction, I do not necessarily mean models. Could be documentation, usability or robustness improvements. Mainly, I would like to help her get her first pull request in - the main purpose is to make a small contribution while learning how to contribute to open source. I was thinking we can add some information about current models and the current metrics to the documentation, which we struggled to find initially. What do you think?
We could also add documentation for radiologists (with your help):
Or fix usability bugs such as:
Let me know your thoughts,