Determining the association of insurance coverage and survival outcomes in patients with olfactory neuroblastoma utilizing machine learning-Reference-Cited by-同舟云学术

Determining the association of insurance coverage and survival outcomes in patients with olfactory neuroblastoma utilizing machine learning

Published:2023-05-21 Issue:11 Volume:13 Page:2082-2085
ISSN:2042-6976
Container-title:International Forum of Allergy & Rhinology
language:en
Short-container-title:Int Forum Allergy Rhinol

Author:

Fenton David¹,Diaz Ashley¹^ORCID,Chen Haobin²,Armstrong Mikhayla¹,Auger Samuel³,Bujnowski Daniel⁴,Pedroza Alena⁵,Polster Sean⁶,Das Paramita⁶,Horowitz Peleg⁶,Roxbury Christopher³

Affiliation:

1. Pritzker School of Medicine University of Chicago Chicago Illinois USA

2. Program in Quantitative Biomedical Sciences Geisel School of Medicine Dartmouth College Hanover New Hampshire USA

3. Department of Surgery Section of Otolaryngology University of Chicago Chicago Illinois USA

4. Stritch School of Medicine Loyola University Chicago Maywood Illinois USA

5. Univerisity of Chicago Division of the Biological Sciences Chicago Illinois USA

6. Department of Surgery Section of Neurological Surgery University of Chicago Chicago Illinois USA

Abstract

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.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/alr.23172

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