Publication2023
A Novel Optimized Perturbation-Based Machine Learning for Preserving Privacy in Medical Data
- Good Health and Well-being
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 June 2023
- Level
- National
- Journal
- Wireless Personal Communications
- Volume
- 130
- Issue
- 3
- Pages
- 1905-1927
- Published
- 1 June 2023
- DOI
- 10.1007/s11277-023-10363-x
- Scopus ID
- 85149752108
- ISSN
- 09296212
- Authors
- 3
- Open access
- Yes
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.8 Achieve universal health coverage, including financial risk protection and access to essential medicines
Proposes honey pot-based modular neural network with perturbation function for preserving privacy in medical dataset classification systems.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Proposes honey pot-based modular neural network with perturbation function for preserving privacy in medical dataset classification systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A Novel Optimized Perturbation-Based Machine Learning for Preserving Privacy in Medical Data”. Kortex.