Enhancing Prostate Cancer Diagnosis: Leveraging XGBoost for Accurate Classification-Reference-Cited by-同舟云学术

Enhancing Prostate Cancer Diagnosis: Leveraging XGBoost for Accurate Classification

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Degadwala Sheshang¹,Vyas Dhairya²,Jadeja Abhijeetsinh³,Pandya Darshanaben D³

Affiliation:

1. Sigma University,Computer Engineering Department,Vadodara,Gujarat

2. The Maharaja Sayajirao University of Baroda,Vadodara,Gujarat,India

3. Sankalchand Patel University,Shri C. J Patel College of Computer Studies (BCA),Department of Computer Science,Visnagar,Gujarat

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250511.pdf?arnumber=10250511

Reference15 articles.

1. Performance analysis of Machine learning classifiers for predicting diabetes and prostate cancer

2. A Machine Learning Classification Technique for Predicting Prostate Cancer;alam;2020 IEEE International Conference on Electro Information Technology (EIT),2020

3. Diagnosis of prostate cancer in a Chinese population by using machine learning methods

4. Generalization of prostate cancer classification for multiple sites using deep learning

5. Microarray Prostate Cancer Classification using Eminent Genes;rajaguru;2021 Smart Technologies Communication and Robotics (STCR),2021

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