ISSN2456-3315
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Paper Title
A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches
Authors
Digeshwar prasad Sahu , Ranu Pandey
Keywords
Keywords : Decision Tree, Random Forest, Prediction, Logistic Regression, ML, K-Mean
Abstract
Breast cancer is a significant global health concern, accounting for a large number of cancer-related deaths among women. Timely and accurate diagnosis is critical to improving treatment outcomes and patient survival rates. The complexity and volume of breast cancer data, however, present challenges in effective diagnosis using traditional methods. This research explores the application of machine learning (ML) techniques to simplify, analyze, and derive meaningful insights from breast cancer datasets.
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IJRTI — journal style
"A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.a622-a630, August-2025, Available :https://ijrti.org/papers/IJRTI2508076.pdf
APA — 7th edition
Sahu, D. P., & Pandey, R. (2025). A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches. International Journal for Research Trends and Innovation, 10(8), a622-a630. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076
MLA — 9th edition
Sahu, Digeshwar prasad, and Ranu Pandey. "A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. a622-a630, https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076.
Chicago — 17th, bibliography
Sahu, Digeshwar prasad, and Ranu Pandey. "A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches." International Journal for Research Trends and Innovation 10, no. 8 (2025): a622-a630. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076.
Harvard — author–date
Sahu, D.P. and Pandey, R. (2025) 'A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches', International Journal for Research Trends and Innovation, 10(8), pp. a622-a630. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076
IEEE — numbered reference
D. P. Sahu and R. Pandey, "A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches," IJRTI, vol. 10, no. 8, pp. a622-a630, Aug. 2025.
Vancouver — biomedical
Sahu DP, Pandey R. A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches. IJRTI. 2025 Aug;10(8):a622-a630.
AMA — 11th edition
Sahu DP, Pandey R. A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches. IJRTI. 2025;10(8):a622-a630. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508076,
author = {Digeshwar prasad Sahu and Ranu Pandey},
title = {A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {8},
pages = {a622-a630},
year = {2025},
month = {August},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Sahu, Digeshwar prasad
AU - Pandey, Ranu
TI - A Study-Oriented Analysis of Simplifying Breast Cancer Data Using Machine Learning Approaches
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 8
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076
SP - a622-a630
ER -
Issue
Volume 10 Issue 8,
August-2025
Pages : a622-a630
Other Publication Details
Paper Reg. ID
IJRTI_205631
Published Paper ID
IJRTI2508076
Downloads
205,614
Research Area
Computer EngineeringÂ
Country
Raipur, Chhattisgarh, India
Published
August 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2508076.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2508076
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
