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

• C#
• .NET
• Windows Form

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

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

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

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

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

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

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