Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer-Reference-Cited by-同舟云学术

Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer

Published:2024-04-10 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Rajpoot Chour Singh¹,Sharma Gajanand²,Gupta Praveen³,Dadheech Pankaj⁴,Yahya Umar⁵^ORCID,Aneja Nagender⁶⁷

Affiliation:

1. School of Computing Science and Engineering, VIT Bhopal University, Bhopal, India

2. Department of Computer Science and Engineering, JECRC University, Jaipur, Rajasthan, India

3. Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University), Visakhapatnam, India

4. Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India

5. Department of Computer Science, Faculty of Science, Islamic University in Uganda, Kampala, Uganda

6. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

7. School of Digital Science, Universiti Brunei Darussalam, Darussalam, Brunei

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2340386

Reference71 articles.

1. XBPF: An extensible breast cancer prognosis framework for predicting susceptibility, recurrence and survivability;Aavula R.;International Journal of Engineering and Advanced Technology,2019

2. A new nested ensemble technique for automated diagnosis of breast cancer

3. Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine

4. Support vector machines combined with feature selection for breast cancer diagnosis

5. Satisfiability in Big Boolean Algebras via Boolean-Equation Solving

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