Crossmark

Comparative study of machine learning and statistical survival models for enhancing cervical cancer prognosis and risk factor assessment using SEER data

Crossref DOI link: https://doi.org/10.1038/s41598-024-72790-5

Published Online: 2024-09-27

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

Authors

Kolasseri, Anjana Eledath

B, Venkataramana
Funding

Funding for this research was provided by:

Vellore Institute of Technology, Vellore
License Information

Text and Data Mining valid from 2024-09-27

Version of Record valid from 2024-09-27
More Information

Article History

Received: 27 May 2024

Accepted: 10 September 2024

First Online: 27 September 2024

Declarations

:

: The authors declare no competing interests.

: This study analyzed a secondary data set and had no identifiers of the survey participants. This dataset is easily available in the public domain for research purposes; hence no approval was required from any institutional review board as there is no question of human subject protection arising in this case.

Document is current

Any future updates will be listed below