Inspiration
One of close my family members recently expired because of Breast Cancer which moved us all negatively. It inspired me to make something which could help for early detection of it thus saving lives.
What it does
It utilizes machine learning to analyse the early diagnosis reports to predict if the current patients possess it or not.
How I built it
It is built on Jupyter Library and and uses utilises Scikit-Learn to achieve the task.
Challenges I ran into
The level of accuracy to estimate the cancer disease is very crucial and must have zero or very less percentage of errror.
Accomplishments that I'm proud of
The accuracy of it is above 90 percent that makes me very proud of it.
What I learned
I learned how to make the coding much useful for real world problems.
What's next for Breast Cancer Detection Model
The integration of various disease prediction that is integrated in a free to use app is the next big thing we need and i want to contribute to it in future.
Built With
- jupyter
- python
- scikit-learn
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