Machine Learning for Breast Cancer Risk Prediction
Principal Investigator
Name
Sigrid Sandström
Degrees
MS
Institution
Stockholm University
Position Title
Master's Student
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-910
Initial CDAS Request Approval
Feb 16, 2022
Title
Machine Learning for Breast Cancer Risk Prediction
Summary
This is a thesis project for my master's in computer and systems science. The project will use machine learning models to predict if a woman has breast cancer or not, using the features available in the dataset. The data will be used to train the machine learning models and to test their predictive performance. Furthermore, interpretability methods will be used on the models to determine what features had the biggest impact on the positive breast cancer predictions. Those features will then be analyzed to identify risk groups and actions that women can take to reduce their risk of developing breast cancer.
Aims
• Create a machine learning model that can predict breast cancer with high accuracy.
• Identify risk groups for breast cancer.
• Identify actionable features for the prevention of breast cancer.
Collaborators
No collaborators.