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Developing a prediction model to predict the incidence of metastasis in lung cancer patients using artificial intelligence techniques

Published Online: 2026-07-27

Authors

Gharabaghi, Mehrnaz Asadi https://orcid.org/0000-0003-0852-1532
Gholamzadeh, Marsa https://orcid.org/0000-0001-6781-9342
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Text and Data Mining valid from 2026-07-27

Accepted Manuscript valid from 2026-07-27
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Article History

Received: 19 March 2025

Accepted: 20 July 2026

First Online: 27 July 2026

Declarations

Ethics approval and consent to participate: All methods were performed based on the relevant guidelines and regulations. This study was conducted in accordance with the ethical principles outlined in the Declaration of Helsinki and was approved by the Tehran University of Medical Sciences Ethics Committee (IR.TUMS.SPH.REC.1404.122). This retrospective study utilized a publicly available, anonymized dataset from Kaggle. As the data are fully anonymized and do not contain any personally identifiable information, and no direct interaction with human subjects was involved, the need for informed consent was waived by the Ethics Committee of the Tehran University of Medical Sciences.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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