Dataset
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Patient medical appointment that contains medical appointment history and their no-show status for each appointment.
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Data Dictionary: see attached data_ref.csv
Questions
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Develop model(s) that predict patient’s probability of no-show and outline your approach
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Based on your findings what recommendations would you make to the operation unit
- Predicting Patient No-Shows
- Demo-Preview
- Table of contents
- Installation
- Usage
- Development
- License
- Footer
No installation necessary as no packaging was done. All main working code is within the main.ipynb notebook under the "notebooks folder. (Back to top)
To use this project, first clone the repo on your device using the command below:
git init
git clone https://github.com/chok-ketzamtzib/crowley-medical-no-show-project.git
Using your IDE of choice, such as Jupyter Lab, you can open up the main.ipynb notebook to view working code.
If you use Interactive Window in Visual Studio Code, the main.py under "modules" would be best for you to use. (Back to top)
Development tools used is VS code and a Windows Operating System, with anaconda as the python base library. (Back to top)
GNU General Public License version 3
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