Publication2017
Recurrence quantification as potential bio-markers for diagnosis of pre-cancer
The record
- Type
- Publication
- Date
- 1 January 2017
- Level
- National
- Journal
- Progress in Biomedical Optics and Imaging Proceedings of SPIE
- Volume
- 10063
- Published
- 1 January 2017
- DOI
- 10.1117/12.2251235
- Scopus ID
- 85019220037
- ISSN
- 16057422
- Authors
- 7
- 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
Recurrence quantification analysis as biomarkers for precancerous tissue classification using spectroscopy signals directly addresses early cancer detection capability.
- 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
Early detection methodology supports health outcomes through biomarker-based diagnostic approach for preventing disease progression.
- 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.
Evidence
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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. “Recurrence quantification as potential bio-markers for diagnosis of pre-cancer”. Kortex.