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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2020

Soft Computing based Approaches for Classifying Diseases using Medical Diagnosis Dataset

The record

Type
Publication
Date
1 March 2020
Level
National
Journal
2020 International Conference on Emerging Smart Computing and Informatics Esci 2020
Pages
77-81
Published
1 March 2020
DOI
10.1109/esci48226.2020.9167518
Scopus ID
85092487525
Authors
2
Open access
No
Citations
16
International co-authorship
No
Co-author countries
IN

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Applies decision trees, support vector machines and neural networks for disease classification from gene expression microarray data enabling early patient diagnosis

    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Machine learning-based disease classification supports precision medicine and early intervention improving healthcare outcomes through molecular diagnostics

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Soft Computing based Approaches for Classifying Diseases using Medical Diagnosis Dataset”. Kortex.

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Soft Computing based Approaches for Classifying Diseases using Medical Diagnosis Dataset · Kortex