Cargando…
Lung cancer prediction using machine learning on data from a symptom e-questionnaire for never smokers, formers smokers and current smokers
PURPOSE: The aim of the present study was to investigate the predictive ability for lung cancer of symptoms reported in an adaptive e-questionnaire, separately for never smokers, former smokers, and current smokers. PATIENTS AND METHODS: Consecutive patients referred for suspected lung cancer were r...
Autores principales: | Nemlander, Elinor, Rosenblad, Andreas, Abedi, Eliya, Ekman, Simon, Hasselström, Jan, Eriksson, Lars E., Carlsson, Axel C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586380/ https://www.ncbi.nlm.nih.gov/pubmed/36269746 http://dx.doi.org/10.1371/journal.pone.0276703 |
Ejemplares similares
-
Epigenetic modelling of former, current and never smokers
por: Langdon, Ryan J., et al.
Publicado: (2021) -
Are Complication Rates of Breast Reduction Similar in Former Smokers and Never Smokers?
por: Cruz, Norma
Publicado: (2021) -
Repeatability of dental shade by digital spectrophotometry in current, former, and never smokers
por: Conte, Gianluca, et al.
Publicado: (2022) -
WITHDRAWN: Smoker, former smoker and COVID-19
por: Moril-Huaranga, Mariela, et al.
Publicado: (2021) -
The Attentional Bias in Current and Former Smokers
por: Masiero, Marianna, et al.
Publicado: (2019)