Use of Machine Learning and Decision Classifiers in the Analysis of PLCO Ovarian Data
Principal Investigator
Name
Katherine Andriole
Degrees
PhD
Institution
Brigham and Women's Hospital, Harvard Medical School
Position Title
Associate Professor of Radiology
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-201
Initial CDAS Request Approval
Mar 29, 2016
Title
Use of Machine Learning and Decision Classifiers in the Analysis of PLCO Ovarian Data
Summary
PLCO Ovarian data will be analyzed using statistical machine learning approaches and decision classifiers to discern relevant features in imaging and other clinical metadata for disease characterization.
Aims
1. Explore the application of machine learning to the available clinical and other relevant metadata to extract features.
2. Build and test a decision classifier for data characterization.
Collaborators
Wasssim Al Assad, MD (Fellow, Harvard Medical School)
Bowen Baker (Student, Massachusetts Institute of Technology)
Ronilda Lacson, MD, PhD (Brigham and Women’s Hospital , Harvard Medical School)
Romeo Laroya, MD (Fellow, Brigham and Women’s Hospital, Harvard Medical School)
Justin Rousseau, MD (Fellow, Harvard Medical School)
Sowmya Lakshmi Varada, MD (Research Scientist, Brigham and Women’s Hospital)
Vladimir Valtchinov, PhD (Brigham and Women’s Hospital , Harvard Medical School)
Otkrist Gupta, (Student, MIT)