CardioPredict Model

Inspiration

What inspired me to take up a coding project about heart health is the passion that I have in both programming and cardiology as different fields of studies. I always thought there is so much scope to combine these 2 fields using domains like biomedical engineering, with which I ventured into this project.

What it does

This program uses a dataset for heart failure prediction and visualizes it with various graphs and charts to help compare and contrast the statistics to a more clear level. This program also uses machine learning as I trained the model with logical regression to help simulate a scenario of a new patient and predict the statistics associated with heart disease.

How I built it

I conceptualized the idea and knew that python had to be language for me to code this program with, as I wanted to stick to a computational biology influence. I then sourced datasets, best used for analysis in which I landed on Kaggle, which I read through and downloaded. I then used Google Colab to write out some basic fundamentals using comments to order the sequence of my program. I then used some help from ChatGPT to write complex syntax I couldn't approach, as well as clarifying some errors on the logic end with some of AI's help. I ran through the different programs multiple times until I got this output that I am satisfied with.

Challenges I ran into

I constantly kept having issues trying to write some complex code in the areas where I had to train the model with machine learning. Because of that, I kept getting errors with my code as the mistakes with my syntax would often disrupt some part of my code (most likely if different programs are connecting through initializing certain variables).

Accomplishments that I'm proud of

I am proud of the fact that despite being pretty new to python programming, I was able to create a solid base plan for the program using my logic and even able to write some complex code despite the difficulties I had with time and understanding.

What I learned

I learned how to sequence a program and how to organize complex code structure in a clear structure without giving too many problems while running the file.

Built With

• chatgpt
• google-colab
• kaggle
• python