Predicting Risk of Malignant CNS Tumors From Medical History Events
This study demonstrated how large data models can predict MBT in patients using EHR data. With the lack of preventive screening guidelines and known risk factors associated with MBT, predictive models provide a universal, non-invasive, and inexpensive method of identifying at-risk patients.
Authors
- Aaron J Hill (ORCID: https://orcid.org/0009-0006-6739-8190)
Institutions
- George Mason University (US)
Publication Details
- Journal
- Quality Management in Health Care
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1097/qmh.0000000000000497
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00