Use of claims-based machine learning to assign pancreatic cancer stage for enhanced outcomes research in Medicare.
Abstract
676 Background: Administrative claims are a rich source of data on real-world oncology costs, patient journeys, and treatment use, but diagnosis codes on claims are insufficiently detailed to allow for research on differences in outcomes and cost by stage. Utilization of machine learning techniques to assign cancer stage in claims could expand opportunities for population research. This work sought to build and validate a predictive machine-learning algorithm to determine patients’ stage at pancreatic cancer diagnosis using claims data alone. Methods: Incident pancreatic cancer cases diagnosed between 2016-2017 were identified using the SEER-Medicare data. Patients with
Fields of Study & Subjects
Pancreatic and Hepatic Oncology Research
Medical Coding and Health Information
Machine Learning in Healthcare
Publication details
- Journal / source
- Journal of Clinical Oncology
- Volume
- 44
- Issue
- 2_suppl
- Pages
- 676–676
- Publication date
- 10 January 2026
- Language
- EN