Explainable Machine Learning for Personalized Decision-Making in Prostate Cancer
Principal Investigator
Name
Krithika Suresh
Degrees
PhD
Institution
University of Colorado
Position Title
Assistant Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-726
Initial CDAS Request Approval
Jan 28, 2021
Title
Explainable Machine Learning for Personalized Decision-Making in Prostate Cancer
Summary
Machine learning algorithms have been shown to have superior predictive performance in comparison to traditional statistical models. However, they are often criticized because they lack interpretability. In this project, we propose using PLCO prostate cancer data to compare the predictive performance of various survival machine learning algorithms. We will then develop and demonstrate the use of a model-agnostic explainer for survival black-box models using PLCO data.
Aims
- Aim 1: Develop a model-agnostic explainer for survival black-box prediction models
- Aim 2: Demonstrate the use of the explainer tools for predicting prostate-cancer specific survival using PLCO data
Collaborators
Debashis Ghosh, University of Colorado
Carsten Goerg, University of Colorado
Cameron Severn, University of Colorado