An intelligence model for detection of <scp>PCOS</scp> based on k‐means coupled with <scp>LS‐SVM</scp>-Reference-Cited by-同舟云学术

An intelligence model for detection of PCOS based on k‐means coupled with LS‐SVM

Published:2022-06-22 Issue:21 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Faris Najlaa Nsrulaah¹^ORCID,Miften Firsas Saber¹

Affiliation:

1. College of Education for Pure Sciences University of Thi‐Qar Nasiriyah Iraq

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7139

Reference23 articles.

1. A roadmap to a clinical prediction model with computational intelligence for PCOS;Krishnaveni V;Int J Manag Technol Eng,2019

2. Multilevel thresholding based follicle detection and classification of polycystic ovary syndrome from the ultrasound images using machine learning;Gopalakrishnan C;Int J Syst Assur Eng Manag,2021

3. InanMS UlfathRE AlamFI BappeeFK HasanR.Improved sampling and feature selection to support extreme gradient boosting for PCOS diagnosis. Proceedings of the 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC); 2021; IEEE.

4. A machine learning approach for selection of polycystic ovarian syndrome (PCOS) attributes and comparing different classifier performance with the help of WEKA and PyCaret;Munjal A;Int J Sci Res,2020

5. Study and detection of PCOS related diseases using CNN;Sumathi M;IOP Conf Ser Mater Sci Eng,2021

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