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

被引:0
作者
Fenton, David [1 ]
Diaz, Ashley [1 ]
Chen, Haobin [2 ]
Armstrong, Mikhayla [1 ]
Auger, Samuel [3 ]
Bujnowski, Daniel [4 ]
Pedroza, Alena [5 ]
Polster, Sean [6 ]
Das, Paramita [6 ]
Horowitz, Peleg [6 ]
Roxbury, Christopher [3 ,7 ]
机构
[1] Univ Chicago, Pritzker Sch Med, Chicago, IL USA
[2] Dartmouth Coll, Geisel Sch Med, Program Quantitat Biomed Sci, Hanover, NH USA
[3] Univ Chicago, Dept Surg, Sect Otolaryngol, Chicago, IL USA
[4] Loyola Univ Chicago, Stritch Sch Med, Maywood, IL USA
[5] Univ Chicago, Div Biol Sci, Chicago, IL USA
[6] Univ Chicago, Dept Surg, Sect Neurol Surg, Chicago, IL USA
[7] Univ Chicago, Pritzker Sch Med, 5841 South Maryland Ave, Chicago, IL 60637 USA
关键词
olfaction; olfactory disorders; sinus surgery; HEALTH-INSURANCE; DIAGNOSIS; IMPACT; CANCER; STAGE;
D O I
10.1002/alr.23172
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
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. © 2023 ARS-AAOA, LLC.
引用
收藏
页码:2082 / 2085
页数:4
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