Publication2024
Effective Application of Supervised KNN Algorithm to Ascertain and Assess Abnormal Growth of Blood Cancerous Cells Predictive Modeling
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1085 LNNS
- Pages
- 553-561
- Published
- 1 January 2024
- DOI
- 10.1007/978-981-97-6726-7_44
- Scopus ID
- 85209184558
- ISSN
- 23673370
- Authors
- 5
- Open access
- No
- Citations
- 0
- 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
Supervised KNN regression algorithm for leukemia prediction using full-blood count enabling early detection of blood cancer in patients
- 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
Machine learning algorithm application to hematological disease prediction advancing medical data mining and predictive analytics research
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-based blood cancer screening tool supporting early diagnosis and improved health outcomes through computational medicine
- 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. “Effective Application of Supervised KNN Algorithm to Ascertain and Assess Abnormal Growth of Blood Cancerous Cells Predictive Modeling”. Kortex.
