CCU Patients Data Dashboard
This application provides a dashboard for monitoring CCU (Critical Care Unit) patients and identifying which patients need referral to a dietitian. It supports CSV uploads to display patient data, visualize analytics through charts, and filter data according to specific needs.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Prerequisites
Before you run the application, you need to install the required Python libraries. Ensure you have Python installed on your system. You can download Python here.
Installing
Follow these steps to get your development environment running:
- Clone the repository to your local machine by running on terminal: git clone https://gitlab.uwe.ac.uk/e2-rowling/systems-development.git
- Navigate to the project directory: cd systems-development
- Install the required libraries to run the application: pip install -r requirements.txt
- To run the application use the following command: python main.py
The application window should open, and you can start interacting with the system.
Using the Dashboard
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Upload CSV File Tab: Use this to upload a CSV file containing patient data. Ensure your CSV file is formatted correctly as specified in the project documentation.
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View Dashboard Tab: Displays a table of all admitted patients. Use the 'Need Referral' and 'Show All' buttons to filter the data.
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Analytics Tab: Shows various analytics about the patients, including a pie chart of referrals and a bar chart for missing patient data.
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Help Tab: Provides detailed instructions on how to use each feature of the application.
Built With
Authors
- Eleftherios Angelos Tsourdiou
- Edward Rowling
- Meleesha Kodippili
- Lihasha Kristhogubaduge