Inspiration
The Hack the Uterus project inspired us to develop this initiative as a way to contribute to research against endometrial cancer.
What it does
Our Artificial Intelligence model provides an estimation of whether a patient is likely to experience a relapse or not, helping to support clinical decision-making.
How we built it
We developed the system in Python, combining unsupervised learning with K-Means clustering and a Gradient Boosting model to perform the final prediction.
What’s next for Endopredict
Our next steps include improving model accuracy with larger and more diverse datasets, validating the system in real clinical settings, and exploring its integration as a decision-support tool for healthcare professionals.
Log in or sign up for Devpost to join the conversation.