Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence
Prediction models of EC recurrence built with ML and DL analytics had better performance than models with clinical and pathologic data alone. Prospective validation is required to determine clinical utility.
Authors
- Michael J. Cavnar (ORCID: https://orcid.org/0000-0002-6197-7945)
- Andrew Polio
- Vincent Wagner (ORCID: https://orcid.org/0000-0002-0402-3483)
- Stephen B. Edge (ORCID: https://orcid.org/0000-0002-3285-6191)
- Jesús González Bosquet (ORCID: https://orcid.org/0000-0002-2079-4528)
- Ahmad A. Tarhini (ORCID: https://orcid.org/0000-0002-3193-9702)
- Christopher M. Tarney
- Bradley R. Corr (ORCID: https://orcid.org/0000-0002-6608-2585)
- Erin George (ORCID: https://orcid.org/0000-0003-3068-0273)
- Aliza Leiser
- Michelle L. Churchman (ORCID: https://orcid.org/0000-0002-6560-1056)
- Robert Dood (ORCID: https://orcid.org/0000-0003-4302-6983)
- Casey Cosgrove (ORCID: https://orcid.org/0009-0003-1056-9938)
- Bodour Salhia (ORCID: https://orcid.org/0000-0003-3843-3621)
- Lauren Dockery
- Kathleen M. Darcy (ORCID: https://orcid.org/0000-0003-2888-2968)
- Lisa M. Landrum (ORCID: https://orcid.org/0000-0002-4010-6833)
- Marilyn Huang (ORCID: https://orcid.org/0009-0000-3689-9749)
- Rob J. Rounbehler
Institutions
- Rutgers, The State University of New Jersey (US)
- University of Southern California (US)
- Gynecologic Oncology Group (US)
- University of Iowa (US)
- Roswell Park Comprehensive Cancer Center (US)
- University of Kentucky (US)
- Uniformed Services University of the Health Sciences (US)
- Oklahoma City University (US)
- Walter Reed National Military Medical Center (US)
- Huntsman Cancer Institute (US)
- Moffitt Cancer Center (US)
- University of Virginia (US)
- University of Colorado Anschutz Medical Campus (US)
- The Ohio State University (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Oklahoma (US)
Publication Details
- Journal
- JCO Precision Oncology
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1200/po-24-00859
- Citations
- 2
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.11