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
korenber@queensu.ca

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