Performance Analysis of the Machine Learning Algorithms for the Early Detection of Breast Carcinoma-Reference-Cited by-同舟云学术

Performance Analysis of the Machine Learning Algorithms for the Early Detection of Breast Carcinoma

Published:2024-03-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Vanitha K¹,Karpagavalli S. M.²,T R Mahesh³,Ali A. Althaf⁴,T Sridhar⁵,Anitha K.⁶

Affiliation:

1. Karpagam Academy of Higher Education(Deemed to be University),Faculty of Engineering,Department of Computer Science and Engineering,Coimbatore,India

2. Al Ameen Engineering College Erode,Department of Computer Science and Engg,Tamilnadu,India

3. JAIN (Deemed-to-be University),Faculty of Engineering and Technology,Department of Computer Science and Engineering,Bangalore,India

4. Madanapalle Institute of Technology & Science,Department of Computer Applications,Andhra Pradesh,India

5. Alliance University,Alliance College of Engineering and Design,Bangalore,India

6. CSI College of Engineering,Department of Information Technology,Ooty,Tamilnadu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10503434.pdf?arnumber=10503434

Reference16 articles.

1. Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures

2. Breast Cancer Detected with Screening US: Reasons for Nondetection at Mammography

3. Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data

4. FedOPT: federated learning-based heterogeneous resource recommendation and optimization for edge computing

5. Breast Cancer Risk Prediction Using Electronic Health Records