Determining the association of insurance coverage and survival outcomes in patients with olfactory neuroblastoma utilizing machine learning.
- Resource Type
- Article
- Authors
- Fenton, David; Diaz, Ashley; Chen, Haobin; Armstrong, Mikhayla; Auger, Samuel; Bujnowski, Daniel; Pedroza, Alena; Polster, Sean; Das, Paramita; Horowitz, Peleg; Roxbury, Christopher
- Source
- International Forum of Allergy & Rhinology. Nov2023, Vol. 13 Issue 11, p2082-2085. 4p.
- Subject
- *INSURANCE associations
*INSURANCE
*SURVIVAL rate
*MACHINE learning
*HEALTH insurance
- Language
- ISSN
- 2042-6976
Key points: We use machine learning to examine health insurance and mortality in olfactory neuroblastoma.Private insurance significantly improved survival even after adjusting for confounders.The regression model also found no statistical difference between Medicare and no insurance. [ABSTRACT FROM AUTHOR]