Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach
Crossref DOI link: https://doi.org/10.1186/s40537-025-01098-6
Published Online: 2025-02-27
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Naresh, Vankamamidi S.
Reddi, Sivaranjani
Text and Data Mining valid from 2025-02-27
Version of Record valid from 2025-02-27
Article History
Received: 10 September 2024
Accepted: 11 February 2025
First Online: 27 February 2025
Declarations
:
: Not applicable’.
: The authors declare no competing interests.