Breast Cancer Prediction using Feature Selection and Classification with XGBoost-Reference-Cited by-同舟云学术

Breast Cancer Prediction using Feature Selection and Classification with XGBoost

Published:2023-02-10 Issue: Volume: Page:
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Container-title:2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)
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Author:

Haarika Raye¹,Babu Tina²,Nair Rekha R³,M Rajesh T²

Affiliation:

1. School of Engineering, Dayananda Sagar University,Department of Computer Science and Engineering (AI & ML),Bengaluru,India

2. School of Engineering, Dayananda Sagar University,Department of Computer Science and Engineering,Bengaluru,India

3. School of Engineering, Dayananda Sagar University,Department of Computer Applications,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111776/10111505/10111901.pdf?arnumber=10111901

Reference20 articles.

1. A novel and reliable computational intelligence system for breast cancer detection

2. Decision tree classifiers for automated medical diagnosis

3. A cross-platform evaluation of various decision tree algorithms for prognostic analysis of breast cancer data;s;International Conference on Inventive Computation Technologies (ICICT),2016

4. Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm

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