README.md

Healthcare Application

This is a Healthcare Application designed to improve patient care by leveraging modern technologies. The application includes features for patient management, appointment scheduling, and more.

Table of Contents

1. Getting Started
2. Prerequisites
3. Installation
4. Running the Application
5. Datasets
6. Acknowledgements
7. License

Getting Started

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Python 3.7 or higher
• Git

Installation

1. Clone the repository:

   git clone https://github.com/zeeza18/Healthcare-Application.git
   cd Healthcare-Application
   

2. Create a virtual environment:

   python3 -m venv venv
   

3. Activate the virtual environment:

   • On Windows:

     .\\venv\\Scripts\\activate
     

   • On MacOS/Linux:

     source venv/bin/activate
     

4. Install the required libraries:

   pip install -r requirements.txt
   

Running the Application

1. Set environment variables (if any):

   Make sure to set any required environment variables. For example:

   export FLASK_APP=app.py
   export FLASK_ENV=development   
   

2. Run the Flask application:

   flask run
   
   The application will be available at \`http://127.0.0.1:5000/\`.
   

Datasets

Kernels used for training deep learning models:

• Kernel for Malaria model: Malaria Cell
• Kernel for Pneumonia model: Keras NN X-Ray Predict Pneumonia

Details of various datasets used for model development:

• Cancer: cancer.csv (In the repository)
• Diabetes: diabetes.csv (In the repository)
• Heart: heart.csv (In the repository)
• Liver: Indian Liver Patient Records
• Kidney: Chronic Kidney Disease
• Malaria: Cell Images for Detecting Malaria
• Pneumonia: Chest X-Ray Pneumonia

Application Images

Diseases Panel

Acknowledgements

We would like to acknowledge Krish Naik for his invaluable guidance and contributions to this project.

License

This project is licensed under the MIT License. See the LICENSE file for details.

All datasets used in this project are licensed under their respective licenses. Please refer to the datasets' documentation for more information.