Your browser doesn't support javascript.
loading
Determining the association of insurance coverage and survival outcomes in patients with olfactory neuroblastoma utilizing machine learning.
Fenton, David; Diaz, Ashley; Chen, Haobin; Armstrong, Mikhayla; Auger, Samuel; Bujnowski, Daniel; Pedroza, Alena; Polster, Sean; Das, Paramita; Horowitz, Peleg; Roxbury, Christopher.
Affiliation
  • Fenton D; Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA.
  • Diaz A; Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA.
  • Chen H; Program in Quantitative Biomedical Sciences, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA.
  • Armstrong M; Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA.
  • Auger S; Department of Surgery, Section of Otolaryngology, University of Chicago, Chicago, Illinois, USA.
  • Bujnowski D; Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
  • Pedroza A; Univerisity of Chicago, Division of the Biological Sciences, Chicago, Illinois, USA.
  • Polster S; Department of Surgery, Section of Neurological Surgery, University of Chicago, Chicago, Illinois, USA.
  • Das P; Department of Surgery, Section of Neurological Surgery, University of Chicago, Chicago, Illinois, USA.
  • Horowitz P; Department of Surgery, Section of Neurological Surgery, University of Chicago, Chicago, Illinois, USA.
  • Roxbury C; Department of Surgery, Section of Otolaryngology, University of Chicago, Chicago, Illinois, USA.
Int Forum Allergy Rhinol ; 13(11): 2082-2085, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37132277
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: Int Forum Allergy Rhinol Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: Int Forum Allergy Rhinol Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States