Corrigendum to “Machine learning computational model to predict lung cancer using electronic medical records”. Journal: Cancer Epidemiology, volume 92 (2024) (Cancer Epidemiology (2024) 92, (S1877782124001103), (10.1016/j.canep.2024.102631))

Matanel Levi, Teddy Lazebnik, Shiri Kushnir, Noga Yosef, Dekel Shlomi

Research output: Contribution to journalComment/debate

Abstract

The authors regret and would like to correct the first and third Highlights (marked in red): • Artificial intelligence can be used to predict lung cancer by utilizing common risk factors. • For nonsmokers, an accuracy of 73 % was found for predicting lung cancer. • This study highlights the importance of each risk factor in a machine learning model. The authors would like to apologise for any inconvenience caused.

Original languageEnglish
Article number102649
JournalCancer Epidemiology
Volume93
DOIs
StatePublished - Dec 2024

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