The Effective Breast Cancer Classification with the Random Forest Algorithm-Reference-Cited by-同舟云学术

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The Effective Breast Cancer Classification with the Random Forest Algorithm

Published:2023-11-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference of Computer Science and Information Technology (ICOSNIKOM)
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Author:

Rahman Sayuti¹,Siregar Dodi²,Syah Rahmad B.Y¹,Setiawan Heri³,Maulana Asep Erlan¹,Hamsiah ⁴

Affiliation:

1. Universitas Medan Area,Department of Informatics,Medan,Indonesia

2. Universitas Harapan Medan,Department of Informatics,Medan,Indonesia

3. Institut Agama Islam Negeri Palangkaraya,Communication and Islamic Broadcasting Department,Palangkaraya,Indonesia

4. Sekolah Tinggi Ilmu Ekonomi Sakti Alam Kerinci,Department of Management,Jambi,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10364336/10364339/10364529.pdf?arnumber=10364529

Reference23 articles.

1. Risk Factors and Preventions of Breast Cancer

2. Breast Cancer Statistics in the European Union: Incidence and Survival across European Countries

3. Global breast cancer incidence and mortality trends by region, age-groups, and fertility patterns

4. A framework for breast cancer classification using Multi-DCNNs

5. Convolutional neural network improvement for breast cancer classification

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