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Other Resource Collections and Guides

This collection contains other resource collections and guides.

  • Maybe some of the other collections provide what you were originally trying to find in here, or they give you a different perspective or layout that you prefer.
  • Perhaps you can just use them as additional information. Heck, you even might to create your own collection!
  • In any case, I believe the inclusion of alternative collections will benefit at least some of you.

isaacmg/healthcare_ml 📖

Link: https://github.com/isaacmg/healthcare_ml

Abstract:

This repository is a list of the all the relevant resources on applying machine learning to healthcare. If you see an article, repository, or other useful addition please make a pull request. At the moment structure of the repository is as follows: instead of being broken down by machine learning domains as you would technically expect (i.e. computer vision, NLP, audio...etc), it is broken down by application area (i.e. precision medicine, genomics, medical imaging/radiology, hospital operations...). Papers, conferences, tools, or courses that cover multiple areas of healthcare are moved to the "other/overlapping" category. If you think that this is confusing or there is a better way of doing things please post in the issues discussion

kakoni/awesome-healthcare 💻

Link: https://github.com/kakoni/awesome-healthcare

Abstract:

Curated list of awesome open source healthcare software, libraries, tools and resources. Each link has been vetted to ensure the project is active and provides value to healthcare facilities, providers, developers, policy experts, and/or research scientists.

Bibliography

“Isaacmg/Healthcare_ml.” GitHub, https://github.com/isaacmg/healthcare_ml. Accessed 5 Apr. 2021.
Niemelä, Karri. Kakoni/Awesome-Healthcare. 2016. 2021, https://github.com/kakoni/awesome-healthcare.