Invited lecture2025
Optimizing Cerebral Stroke Prediction: Combining SMOTE-ENN and XGBoost on Imbalanced Medical Data
- Good Health and Well-being
- Partnerships for the Goals
- Empowered Indians
The record
- Type
- Invited lecture
- Date
- 20 June 2025
- Level
- International — held abroad
- Location
- Howrah, West Bengal, India
- School
- Reporting cycle
- 2025
- Programme
- 5h International Conference on Intelligent Technologies (CONIT 2025)
- Role
- Paper Presenter
- Organiser
- K.L.E Society’s KLE Institute of Technology
- People presenting
- 1
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
Tier B rule disease-noncommunicable matched "stroke" in the record’s own title. Names a non-communicable disease, which is target 3.4 exactly.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
3 Ensure healthy lives and promote well-being for all at all ages
Tier B rule health-general matched "medical" in the record’s own title. Names a clinical, medical or public-health subject, which the rubric requires for SDG 3 rather than a merely biological one.
- 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.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
17.16 Enhance the global partnership for sustainable development, complemented by multi-stakeholder partnerships
Structural signal: held outside India.
- Produced by
- sdg17-structural-v1, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Tier B rule disease-noncommunicable matched "stroke" in the record’s own title. Names a non-communicable disease, which is target 3.4 exactly.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Records of this type were classified by a published, versioned rule set, over 5,246 activities. Each label above carries the rubric version it was produced under. How each classification is reached.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
- Source records held
- 1
| Source system | Reference | Last read |
|---|---|---|
| KIIT PBAS reporting workbook (consolidated) | Data - Invited Lecture!267 |
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Citing this record
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KIIT Deemed to be University. “Optimizing Cerebral Stroke Prediction: Combining SMOTE-ENN and XGBoost on Imbalanced Medical Data”. Kortex. Last read 17 September 2026.