Breast Cancer Risk Predictor

Inspiration

Screens genetic and environmental factors for breast cancer risk

How was it done

Built in Python

Challenges

Ran into issues debugging our screening script and deciding how to scale and output the risk in the best way for the user to understand.

Accomplishments

Our screening script works and takes in the input and produces the corresponding output. We also attempted to build a machine learning model that takes in behavioral risk data and uses it to predict breast cancer risk.

What we learned

We learned how to build a basic machine learning model.

Future for Breast Cancer Risk Predictor

Ideally, our future product would take data from screening model and use it to train the machine learning model to predict the breast cancer risk. Our current machine learning model uses general data similar to the factors we ask for in the screening and creates a regression to predict breast cancer risk based on the survey data. In the future, we would like to include the more individualized data from each individual. We included two non genetic factors our screening, exposure to chemical and consumption of hormone disrupting medicines, because these would be parameters that we would want to include in our our own machine learning model in addition to the categories that were studied from the 2020 behavioral risk factor survey

Built With

• python