https://github.com/betabison/learn-to-care
simple examples of using Pandas to analyze healthcare datasets
https://github.com/betabison/learn-to-care
Last synced: 7 months ago
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simple examples of using Pandas to analyze healthcare datasets
- Host: GitHub
- URL: https://github.com/betabison/learn-to-care
- Owner: betaBison
- Created: 2021-07-27T06:00:24.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-10-24T20:50:58.000Z (over 4 years ago)
- Last Synced: 2025-07-29T01:42:24.158Z (10 months ago)
- Language: Python
- Homepage:
- Size: 3.55 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# learn-to-care
Example code to begin diving into how you might create an algorithm that
"learns" the best personalized healthcare for patients.
## Installation
1. Clone this repository:
``` git clone git@github.com:betaBison/learn-to-care.git```
2. Install dependencies:
``` pip install -r requirements.txt```
## Examples
1. COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries.
Can download [here](https://dev.socrata.com/foundry/healthdata.gov/g62h-syeh).
See [HealthData.gov](HealthData.gov) for more datasets.
Run instructions: ```python covid.py```
2. Heart failure prediction. Can download
[here](https://www.kaggle.com/andrewmvd/heart-failure-clinical-data).
See [Kaggle.com](https://www.kaggle.com/search?q=healthcare+tag%3A%22healthcare%22)
for more datasets.
Run instructions: ```python heart.py```
3. Managing Ehlers Danlos syndrone pain through therapy. Can download
[here](https://digitalcollections.cuanschutz.edu/work/ns/05cea025-a2f4-4f29-9db5-8e84089d1d59).
Run instructions: ```python eds.py```
