Publication2023
A Machine Learning-based Blockchain Model for the Storage of Maternal Health Records and Safety Prediction
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Proceedings 4th IEEE 2023 International Conference on Computing Communication and Intelligent Systems Icccis 2023
- Pages
- 752-756
- Published
- 1 January 2023
- DOI
- 10.1109/icccis60361.2023.10424994
- Scopus ID
- 85186525949
- Authors
- 4
- Open access
- No
- Citations
- 5
- 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 Ensure healthy lives and promote well-being for all at all ages
Blockchain-based system for maternal health records and pregnancy complication prediction directly addresses maternal mortality reduction and health outcomes.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Machine learning and blockchain integration for healthcare advances research capacity in e-health technology and predictive analytics.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Maternal health technology system directly supports health and well-being through improved prenatal care and risk assessment.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A Machine Learning-based Blockchain Model for the Storage of Maternal Health Records and Safety Prediction”. Kortex.