Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit.

Journal: ESMO open
PMID: 34091262

Abstract

BACKGROUND: Persistent smoking after cancer diagnosis is associated with increased overall mortality (OM) and cancer mortality (CM). According to the 2020 Surgeon General's report, smoking cessation may reduce CM but supporting evidence is not wide. Use of deep learning-based modeling that enables universal natural language processing of medical narratives to acquire population-based real-life smoking data may help overcome the challenge. We assessed the effect of smoking status and within-1-year smoking cessation on CM by an in-house adapted freely available language processing algorithm.

Authors

  • A Karlsson
    Faculty of Medicine, University of Turku, Turku, Finland.
  • A Ellonen
    University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • H Irjala
    University of Turku, Turku, Finland; FICAN West Cancer Centre, Turku, Finland; Department of Otorhinolaryngology-Head and Neck Surgery, Turku University Hospital, Turku, Finland.
  • V Väliaho
    Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • K Mattila
    Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • L Nissi
    University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland.
  • E Kytö
    University of Turku, Turku, Finland; FICAN West Cancer Centre, Turku, Finland; Department of Otorhinolaryngology-Head and Neck Surgery, Turku University Hospital, Turku, Finland.
  • S Kurki
    Auria Biobank, University of Turku and Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland.
  • R Ristamäki
    Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • P Vihinen
    FICAN West Cancer Centre, Turku, Finland.
  • T Laitinen
    Hospital Administration, Tampere University Hospital, Tampere, Finland.
  • A Ålgars
    University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • S Jyrkkiö
    Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • H Minn
    University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland.
  • E Heervä
    University of Turku, Turku, Finland; Department of Oncology, Turku University Hospital, Turku, Finland; FICAN West Cancer Centre, Turku, Finland. Electronic address: eetu.heerva@utu.fi.

Keywords

External Resources

Popular Topics
Recent Journals