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

David FentonAshley DiazHaobin ChenMikhayla ArmstrongSamuel AugerDaniel BujnowskiAlena PedrozaSean PolsterParamita DasPeleg HorowitzChristopher Roxbury
Published in: International forum of allergy & rhinology (2023)
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.
Keyphrases
  • health insurance
  • affordable care act
  • machine learning
  • artificial intelligence
  • big data
  • healthcare
  • deep learning
  • cardiovascular events
  • risk factors
  • type diabetes
  • free survival
  • coronary artery disease