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Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches

Crossref DOI link: https://doi.org/10.1186/s12859-020-03719-8

Published Online: 2020-08-27

Published Print: 2020-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kazerouni, Faranak

Bayani, Azadeh

Asadi, Farkhondeh

Saeidi, Leyla

Parvizi, Nasrin

Mansoori, Zahra
License Information

Text and Data Mining valid from 2020-08-27

Version of Record valid from 2020-08-27
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Article History

Received: 13 December 2019

Accepted: 21 August 2020

First Online: 27 August 2020

Ethics approval and consent to participate

: Ethical approval was obtained from the Shahid Beheshti University of Medical Sciences Ethics Committee (IR.SBMU.RETECH.REC.1395.1036). We informed all participants that their participation was voluntary, and the study did not state any potential risk, and their identities will be private. Informed written consent forms were taken from all participants before participation.

: Not applicable.

: The authors declare that they have no competing interests.

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