Development of an algorithm to identify small cell lung cancer patients in claims databases
An etoposide treatment-based algorithm showed good accuracy in identifying SCLC patients. Such algorithms can facilitate analyses of treatment patterns, outcomes, healthcare resource and costs among treated SCLC patients, thereby bolstering the evidence-base for best patient care.
Authors
- Mark D. Danese (ORCID: https://orcid.org/0000-0002-7068-9603)
- Xerxes Pundole (ORCID: https://orcid.org/0000-0002-3324-7398)
- Akhila Balasubramanian (ORCID: https://orcid.org/0009-0000-1256-2826)
- D. Gwyn Bebb (ORCID: https://orcid.org/0000-0002-2292-6715)
Institutions
- Amgen (United States) (US)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-15
- DOI
- https://doi.org/10.3389/fonc.2024.1358562
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.42
Funders
- Amgen
- California Department of Public Health
- University of Southern California
- Centers for Disease Control and Prevention
- University of California, San Francisco
- National Cancer Institute