Publication2024
Cardiac Disease Detection Using Machine Learning Algorithms: A Review
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Proceedings of 2nd International Conference on Advancements in Smart Secure and Intelligent Computing Assic 2024
- Published
- 1 January 2024
- DOI
- 10.1109/assic60049.2024.10507992
- Scopus ID
- 85192955768
- Authors
- 3
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Reviews cardiac disease detection using machine learning classification algorithms improving diagnostic accuracy and early cardiovascular risk identification
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Automated cardiac disease detection supports timely clinical intervention and mortality reduction from cardiovascular conditions
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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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. “Cardiac Disease Detection Using Machine Learning Algorithms: A Review”. Kortex.