https://github.com/pathak-ashutosh/clinical-risk-prediction

Clinical Risk Prediction using EHRs
https://github.com/pathak-ashutosh/clinical-risk-prediction

clinical-data clinical-research fine-tuning healthcare large-language-models llm-inference machine-learning nlp python

Last synced: 19 days ago
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Clinical Risk Prediction using EHRs

• Host: GitHub
• URL: https://github.com/pathak-ashutosh/clinical-risk-prediction
• Owner: pathak-ashutosh
• Created: 2024-05-08T01:10:51.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-06-02T20:31:22.000Z (8 months ago)
• Last Synced: 2024-11-08T20:47:59.235Z (2 months ago)
• Topics: clinical-data, clinical-research, fine-tuning, healthcare, large-language-models, llm-inference, machine-learning, nlp, python
• Language: Jupyter Notebook
• Homepage:
• Size: 2.27 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Clinical Risk Prediction using EHRs

Create a new environment and install the packages listed in an `environment.yml` file, use the `conda env create` command followed by the `-f` option to specify the path to your `environment.yml` file.

Here is the full command: `conda env create -f environment.yml`

To activate the environment, use the `conda activate` command followed by the name of the environment, in this case `crp`.