A Systematic Review based on the Detection of PCOS using Machine Learning Techniques-Reference-Cited by-同舟云学术

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A Systematic Review based on the Detection of PCOS using Machine Learning Techniques

Published:2023-12-11 Issue: Volume:2 Page:1855-1861
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Oviya Graselin S¹,Arunprasath T²,Pallikonda Rajasekaran M¹,Kottaimalai R¹,Ramalakshmi ³

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Electronics andcommunication Engineering,Krishnankoil,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of Biommedical Engineering,Krishnankoil,Tamilnadu,India

3. Kalasalingam Academy of Research and Education,Department of Computer science Engineering,Krishnankoil,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10405158.pdf?arnumber=10405158

Reference35 articles.

1. Detection of Polycystic Ovary Syndrome (PCOS) Using Machine Learning Algorithms

2. Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope?

3. Intelligent robot for defect detection and rectification

4. A Process of Finding Common Symptoms and Diagnosis Age among PCOS Patients Through a Survey

5. Exploration on Polycystic Ovarian Syndrome and Data Mining Techniques

Cited by 1 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. PCOS Detection and Monitoring using Machine Learning;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

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