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Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening.
Stevens, Elizabeth R; Caverly, Tanner; Butler, Jorie M; Kukhareva, Polina; Richardson, Safiya; Mann, Devin M; Kawamoto, Kensaku.
Affiliation
  • Stevens ER; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States. Electronic address: elizabeth.stevens@nyulangone.org.
  • Caverly T; University of Michigan Medical School, Ann Arbor, MI, United States.
  • Butler JM; Department of Biomedical Informatics, University of Utah Health, Salt Lake City, UT, United States.
  • Kukhareva P; Department of Biomedical Informatics, University of Utah Health, Salt Lake City, UT, United States.
  • Richardson S; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
  • Mann DM; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States; Medical Center Information Technology, NYU Langone Health, New York, NY, United States.
  • Kawamoto K; Department of Biomedical Informatics, University of Utah Health, Salt Lake City, UT, United States.
J Biomed Inform ; 147: 104525, 2023 11.
Article in En | MEDLINE | ID: mdl-37844677
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Early Detection of Cancer / Lung Neoplasms Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article 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 Main subject: Early Detection of Cancer / Lung Neoplasms Limits: Humans Country/Region as subject: America do norte Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Country of publication: United States