Publication2024
NeuroCogNet: Advanced Computational Intelligence for Neurological Diagnosis
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1086 LNNS
- Pages
- 53-67
- Published
- 1 January 2024
- DOI
- 10.1007/978-981-97-6036-7_5
- Scopus ID
- 85206493954
- ISSN
- 23673370
- Authors
- 5
- Open access
- No
- Citations
- 10
- 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
NeuroCogNet platform integrates machine learning and signal processing for diagnosis of Alzheimer's disease, stroke, Parkinson's and multiple sclerosis
- 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
AI-assisted neurological diagnosis and precision medicine directly improve health outcomes through early detection of neurologic disorders
- 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. “NeuroCogNet: Advanced Computational Intelligence for Neurological Diagnosis”. Kortex.