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Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm

Published Online: 2024-09-27

Authors

Talebi Moghaddam, Maryam

Jahani, Yones

Arefzadeh, Zahra

Dehghan, Azizallah

Khaleghi, Mohsen

Sharafi, Mehdi

Nikfar, Ghasem
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Text and Data Mining valid from 2024-09-27

Version of Record valid from 2024-09-27
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Article History

Received: 20 July 2024

Accepted: 16 September 2024

First Online: 27 September 2024

Declarations

:

: Ethical issues including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc. were completely observed by the authors. This study was performed according to the ethical guidelines expressed in the Declaration of Helsinki and the Strengthening of the Reporting of Observational Studies in Epidemiology (STORB) guideline. The study was also approved by the Research Ethics Committee of Fasa University of Medical Sciences (IR.FUMS.REC.1402.172). Informed consent was also waived by the Research Ethics Committee of Fasa University of Medical Sciences (IR.FUMS.REC.1402.172).

: Not applicable.

: The authors declare no competing interests.

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