Publication2023
Predictive Analytics for Advance Healthcare Cardio Systems
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Studies in Computational Intelligence
- Volume
- 1098
- Pages
- 187-219
- Published
- 1 January 2023
- DOI
- 10.1007/978-981-99-1482-1_9
- Scopus ID
- 85162011914
- ISSN
- 1860949X
- Authors
- 2
- Open access
- No
- Citations
- 0
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Classification algorithms identifying lifestyle factors causing heart disease enable early detection and prevention of cardiovascular mortality in populations.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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 methodology using SVM, KNN, ELM and novel activation functions advances computational health research innovation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Predictive analytics for disease prevention directly supports health and well-being outcomes.
- 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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Provenance
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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. “Predictive Analytics for Advance Healthcare Cardio Systems”. Kortex.