A Comparative Evaluation and Analysis of Machine Learning Approaches for Predicting Breast Cancer-Reference-Cited by-同舟云学术

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A Comparative Evaluation and Analysis of Machine Learning Approaches for Predicting Breast Cancer

Published:2023-07-14 Issue: Volume: Page:
ISSN:
Container-title:2023 World Conference on Communication & Computing (WCONF)
language:
Short-container-title:

Author:

Pandey Saroj Kumar¹,Sharma Bhavesh Kumar²,Kumar Ankit¹,Singh Kamred Udham³,Singh Teekam⁴,Choudhury Tanupriya⁵

Affiliation:

1. GLA University,Department of Computer Engineering & Applications,Mathura,UP,India

2. GL Bajaj Institute of Technology and Management,Department of MCA,Noida,India

3. Graphic Era Hill University,School of Computing,Dehradun,India

4. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun

5. Graphic Era Hill University,CSE Dept,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10234727/10234833/10235048.pdf?arnumber=10235048

Reference20 articles.

1. Breast cancer prediction using machine learning;sivapriya;International Journal of Recent Technology and Engineering (IJRTE),2019

2. Comparative study of relevance vector machine with various machine learning techniques used for detecting breast cancer

3. Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis

4. Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset

5. A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks

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