Inferring liver cancer stage from Medicare claims data: A machine learning approach to broaden outcomes research.
Abstract
501 Background: Administrative claims provide valuable data on real-world oncology costs and patient experiences. However, the diagnosis codes found in claims often lack the detail necessary to study variations in outcomes and costs by cancer stage. Applying machine learning methods to infer cancer stage from claims data could broaden the scope of population-level research. This study aimed to develop and validate a machine learning algorithm capable of predicting patients’ liver cancer stage at diagnosis using only claims data. Methods: Incident liver cancer cases diagnosed between 2016-2017 were identified using the SEER-Medicare data. Patients with
Fields of Study & Subjects
Medical Coding and Health Information
Hepatocellular Carcinoma Treatment and Prognosis
Machine Learning in Healthcare
Publication details
- Journal / source
- Journal of Clinical Oncology
- Volume
- 44
- Issue
- 2_suppl
- Pages
- 501–501
- Publication date
- 10 January 2026
- Language
- EN