Advanced International Journal for Research
E-ISSN: 3048-7641
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Impact Factor: 9.11
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2026
Indexing Partners
CerviCare : Leveraging AI for Early Cervival Cancer Risk Assessments
| Author(s) | Rishavraj A. Singh, Dr. Jogi John, Sanika V. Turare, Simran S. Junghare, Vaishnavi S. Silwerwar |
|---|---|
| Country | India |
| Abstract | This paper presents a comprehensivereview and analysis of “CerviCare: AI-DrivenCervical Cancer Risk Assessment System”, apredictive healthcare model designed to supportearly identification of cervical cancer using non-invasive patient data. Unlike traditional screeningapproaches that depend on laboratory-intensivetests such as Pap smear and colposcopy, CerviCareleverages machine learning to evaluate risk basedon demographic, lifestyle, medical, and sexual-health attributes. |
| Keywords | Cervical Cancer Prediction, Machine Learning, Evolutionary Neural Network, Medical Screening, Healthcare AI, SVM, Risk Classification, Data Preprocessing. |
| Published In | Volume 7, Issue 3, May-June 2026 |
| Published On | 2026-05-22 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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