BREAST CANCER PREDICTION USING MACHINE LEARNING

BREAST CANCER PREDICTION USING MACHINE LEARNING

Registration ID: IJNRD_217595

Published ID: IJNRD2404142

DOI: Click Here to Get

JAYA MEHRA

Breast Cancer, Machine Learning, Classification, Accuracy Precision, Random Forest, Decision Tree, Logistic regression

Breast cancer is the only type of cancer that affects women worldwide, and it may be a common cause of death. This paper's main goal is to develop a model for predicting breast cancer using several machine learning techniques, classification algorithms like Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Naive Bayes Gaussian (NB), On the other side, The purpose of this research is to estimate the likelihood that a patient will experience a recurrence of breast cancer. To improve the predictive performance of the Random Forest and Deep Neural Network classifiers, the researchers used them separately. Decision Tree (CART), Support Vector Machine (SVM), and Naïve Bayes for numerical datasets whose features are obtained from digitized images of breast mass, this paper study aims to improve accuracy in cancer database analysis and forecasting.

Published Paper   E-Certificate

"BREAST CANCER PREDICTION USING MACHINE LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b331-b340, April-2024, Available :https://ijnrd.org/papers/IJNRD2404142.pdf

Volume 9 Issue 4, April-2024

Pages : b331-b340

Paper Reg. ID: IJNRD_217595

Published Paper Id: IJNRD2404142

Downloads: 000121176

Research Area: Science & Technology

Country: BHOPAL, MADHYA PRADESH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404142.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404142

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area