Early Warning of Ovarian Cancer
Principal Investigator
Name
Michael Korenberg
Degrees
B.Sc., M.Sc., Ph.D.
Institution
Queen's University
Position Title
Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1126
Initial CDAS Request Approval
Dec 8, 2022
Title
Early Warning of Ovarian Cancer
Summary
Ovarian cancer is a disease caused by abnormal cells damaging healthy tissues in the ovaries of a woman. It has the potential to be fatal, so to help detect it early, this project is aimed at building a web application with a machine learning model to help women estimate their risk of having ovarian cancer. The model has to be trained on labelled data to learn the relationship between health-related features and the presence, or lack of, of ovarian cancer, with the output being delivered to the user in the form of a message showing an estimate of having either a low or high risk of ovarian cancer. The team would like to explore this candidate dataset for achieving this goal.
Aims
- To use this dataset to train a machine learning model that estimates the risk of having ovarian cancer.
Collaborators
Michael Korenberg, Queen's University
Pranav Maheshwari, Queen's University
Sarah Nassar, Queen's University
Aidan Wolfson, Queen's University
Esther Yoo, Queen's University