Publication2021
A classification model based on an adaptive neuro-fuzzy inference system for disease prediction
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Studies in Computational Intelligence
- Volume
- 903
- Pages
- 131-149
- Published
- 1 January 2021
- DOI
- 10.1007/978-981-15-5495-7_7
- Scopus ID
- 85089530605
- ISSN
- 1860949X
- Authors
- 4
- Open access
- No
- Citations
- 5
- 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
Adaptive neuro-fuzzy inference system for disease prediction supports health outcome improvement through pattern recognition in medical data
- 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
ANFIS methodology for disease classification represents research innovation in artificial intelligence and machine learning for healthcare
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Disease prediction technology supports health and well-being through enabling early clinical decision-making and patient intervention
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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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. “A classification model based on an adaptive neuro-fuzzy inference system for disease prediction”. Kortex.