This project is an AI Health Application Project. With the artificial intelligence models in this application, doctors are provided with a decision support mechanism for breast cancer stage prediction. The desired clinical data is entered by the doctor and the application predicts the stage of the cancer tumor (along with the probability of stage). During the project, different models were developed with Ada Boost, XG Boost, Rondam Forest and Decision Tree algorithms. These models were evaluated with different measurements such as F1 score, Recall, Precision, Accurcy. Additionally, confusion matrices were created and examined, and the Ada Boost model, which gave the best results, was implemented into the application. The application was developed using Flask. An easy-to-use user interface has been designed.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project is an AI Health Application Project. With the artificial intelligence models in this application, doctors are provided with a decision support mechanism for breast cancer stage prediction. The desired clinical data is entered by the doctor and the application predicts the stage of the cancer tumor (along with the probability of stage).
License
a-utku-saka/Breast-Cancer-Stage-Detection-Application
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This project is an AI Health Application Project. With the artificial intelligence models in this application, doctors are provided with a decision support mechanism for breast cancer stage prediction. The desired clinical data is entered by the doctor and the application predicts the stage of the cancer tumor (along with the probability of stage).
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published