Random Forest-Based Approach for Integrating Blood Profile in Metastatic Breast Cancer Classification-Reference-Cited by-同舟云学术

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Random Forest-Based Approach for Integrating Blood Profile in Metastatic Breast Cancer Classification

Published:2024-04-02 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Adebiyi Marion O.¹,Chukwuebuka J. Ugwu¹,Olaniyan Deborah¹,Adebiyi Ayodele A.¹,Olaniyan Julius¹,Amrevuawho Oghenegueke Fortune²

Affiliation:

1. Landmark University,Department of Computer Science,Omu-Aran,Kwara-State,Nigeria

2. Landmark University,Department of Computer Science,Omu-Aran,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629687.pdf?arnumber=10629687

Reference19 articles.

1. Evolution of Medical Approaches and Prominent Therapies in Breast Cancer

2. Breast cancer: prevention and control,2021

3. Use of the metastatic breast cancer progression (MBC-P) questionnaire to assess the value of progression-free survival for women with metastatic breast cancer

4. nab-Paclitaxel for the Treatment of Aggressive Metastatic Breast Cancer;Glück,2014

5. Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review

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