Inspiration
We want to raise awareness for cancer, specifically for cancer screenings.
What it does
The project is based on a neural network model based off of the most important features in the dataset, which were chosen by using a random forest classifier. With this model, users can input their information for the most important features and the user will receive an output, indicating the likeliness of cancer.
How we built it
We built the project based on the data analysis we conducted, which was done in python. The model was also built in python. The website displaying all of our information was made using streamlit.
Challenges we ran into
We had some difficulties creating the streamlit website, but we eventually got it figured out. We also had problems creating the model, but it was fixed by properly encoding the categorical features.
Accomplishments that we're proud of
We're proud that the streamlit website turned out looking pretty good and that our model was pretty accurate.
What we learned
We learned that neural networks are a great model to use when it comes to making proper predictions.
What's next for Data Analysis on Thyroid Cancer and Prediction Modeling
We could collect more data so that the neural network model is much more accurate.
Built With
- python
- streamlit
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