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

Publication2020

Predictive model prototype for the diagnosis of breast cancer using big data technology

The record

Type
Publication
Date
1 January 2020
Level
National
Journal
Lecture Notes in Networks and Systems
Volume
94
Pages
455-464
Published
1 January 2020
DOI
10.1007/978-981-15-0694-9_43
Scopus ID
85078270233
ISSN
23673370
Authors
4
Open access
No
Citations
1
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

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

    GoalPrimaryHigh confidenceJudged

    Big data predictive model for early breast cancer diagnosis using data mining classification algorithms improves survival rates through timely intervention.

    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

    Cancer detection and diagnosis systems improve health outcomes through early disease identification and treatment planning.

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

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KIIT Deemed to be University. “Predictive model prototype for the diagnosis of breast cancer using big data technology”. Kortex.

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