Publication2026
A Novel Hybrid Ensemble Pipeline Using Optical Character Recognition to Classify Chronic Kidney Disease Risks from Online Patient Data
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1856 LNNS
- Pages
- 125-137
- Published
- 1 January 2026
- DOI
- 10.1007/978-3-032-18913-4_12
- Scopus ID
- 105038813592
- ISSN
- 23673370
- Authors
- 6
- Open access
- No
- Citations
- 0
- 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
Proposes hybrid machine learning pipeline for chronic kidney disease prediction from electronic health records, improving early detection and treatment outcomes for patients with CKD.
- 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
Combines optical character recognition and neural networks with ensemble learning, advancing research capacity in AI-based medical diagnosis and deep learning applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-powered clinical decision support improves chronic kidney disease detection and management, supporting patient health outcomes and preventive healthcare strategies.
- 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. “A Novel Hybrid Ensemble Pipeline Using Optical Character Recognition to Classify Chronic Kidney Disease Risks from Online Patient Data”. Kortex.