For this project, we aim to de-risk and research the technical and strategic aspects of a key opportunity hypothesis: that Simwerx can build an effective automation solution for clinical coding in Emergency Medical Services (EMS). Here, we investigate ways to automate clinical coding with LLMs.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
What things you need to install the software and how to install them.
A step by step series of examples that tell you how to get a development environment running.
Explain how to run the automated tests for this system.
Add additional notes about how to deploy this on a live system.
- Python - The programming language used.
- Scikit-learn - Machine Learning library for Python.
- Pandas - Data analysis and manipulation tool.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning.
- Your Name - Initial work - YourGithubUsername
This project is licensed under the MIT License - see the LICENSE.md file for details
- Hat tip to anyone whose code was used
- Inspiration
- etc
- https://healthtechhacks.substack.com/p/episode-1-llms-for-automated-medical