sebasbarrera / projectx

Heart Attack App app

An awesome app to predict the risk
to have a heart attack
Using machine learning tools.
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Table of Contents

1. About The Project
   • Built With
2. Design
   • Class Diagram
   • Object Diagram
3. Contributing
4. Personal Software Process
5. Ingineering Method
6. Video
7. Contributors

About The Project

An awesome app to predict the risk to have a heart attack using machine learning tools this tools used in the proyect is the Decision-Trees.

Built With

• C#
• .NET
• Windows Form

Design

Here we have some diagrams in Unifed Modeling Lenguage to see how we treat the problem

Class Diagram

https://github.com/JuanSebastianMoralesVilla/ProjectX/blob/main/Documentacion/Diagrama%20de%20clases%20Proyecto%20Integrador.png

Object Diagram

https://github.com/JuanSebastianMoralesVilla/ProjectX/blob/main/Documentacion/Object%20Diagram.pdf

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Personal Software Process

Software Requirements Specifications

Here we have our Engineering Method for this project In this document you can find :

• The problem identification
• Collection of the necessary information
• Search for creative solutions
• Transition from formulation of ideas to preliminary designs
• Evaluation and selection of the best solution
• Functional requirements

Video

Here we have a 5 minutes uploaded to youtube make it by the contributors of the project. In this we show the functionalities and how we see the model and the datastructures that we use. Link: https://youtu.be/NX_hr811Gl0

Contributors

- Juan Sebastian Morales
- Santiago Hurtado
- Miguel Andrés Sarasti
- Juan Sebastián Barrera