Diagnosis of Polycystic Ovary Syndrome Using Random Forest with Bagging Technique-Reference-Cited by-同舟云学术

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Diagnosis of Polycystic Ovary Syndrome Using Random Forest with Bagging Technique

Published:2023-05-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
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Author:

Al-Mousa Amjed¹,Mansour Badr¹,Al-Dabbagh Hamsa¹,Radi Mohammad¹

Affiliation:

1. Princess Sumaya University for Technology,Computer Eng. Dept.,Amman,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10185660/10185673/10185873.pdf?arnumber=10185873

Reference17 articles.

1. Comparative Analysis of Machine Learning Algorithms for Prediction of PCOS

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unraveling the Complexity : A Comprehensive Analysis of PCOS;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues;IET Smart Cities;2024-03-28

3. A Systematic Review based on the Detection of PCOS using Machine Learning Techniques;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

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