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 language | English |
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Article number | 102649 |
Journal | Cancer Epidemiology |
Volume | 93 |
DOIs |
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State | Published - Dec 2024 |