Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models

Journal of Endocrinological Investigation ◽

10.1007/s40618-021-01672-8 ◽

2021 ◽

Author(s):

I. S. Silva ◽

C. N. Ferreira ◽

L. B. X. Costa ◽

M. O. Sóter ◽

L. M. L. Carvalho ◽

...

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Learning Models ◽

Ovary Syndrome ◽

Laboratory Variables ◽

Machine Learning Models

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Automated screening of Polycystic Ovary Syndrome using machine learning techniques

2011 Annual IEEE India Conference ◽

10.1109/indcon.2011.6139331 ◽

2011 ◽

Cited By ~ 3

Author(s):

Palak Mehrotra ◽

Jyotirmoy Chatterjee ◽

Chandan Chakraborty ◽

Biswanath Ghoshdastidar ◽

Sudarshan Ghoshdastidar

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Machine Learning Techniques ◽

Ovary Syndrome ◽

Learning Techniques ◽

Automated Screening

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Multilevel thresholding based follicle detection and classification of polycystic ovary syndrome from the ultrasound images using machine learning

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-021-01203-x ◽

2021 ◽

Author(s):

C. Gopalakrishnan ◽

M. Iyapparaja

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Ultrasound Images ◽

Multilevel Thresholding ◽

Ovary Syndrome

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Automated Detection of Polycystic Ovary Syndrome Using Machine Learning Techniques

10.1109/icabme53305.2021.9604905 ◽

2021 ◽

Author(s):

Yasmine A. Abu Adla ◽

Dalia G. Raydan ◽

Mohammad-Zafer J. Charaf ◽

Roua A. Saad ◽

Jad Nasreddine ◽

...

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Automated Detection ◽

Machine Learning Techniques ◽

Ovary Syndrome ◽

Learning Techniques

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Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Algorithms

2020 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tensymp50017.2020.9230932 ◽

2020 ◽

Author(s):

Subrato Bharati ◽

Prajoy Podder ◽

M. Rubaiyat Hossain Mondal

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Ovary Syndrome

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An Efficient Decision Tree Establishment and Performance Analysis with Different Machine Learning Approaches on Polycystic Ovary Syndrome

2020 23rd International Conference on Computer and Information Technology (ICCIT) ◽

10.1109/iccit51783.2020.9392666 ◽

2020 ◽

Author(s):

Aroni Saha Prapty ◽

Tanzim Tamanna Shitu

Keyword(s):

Machine Learning ◽

Performance Analysis ◽

Polycystic Ovary Syndrome ◽

Decision Tree ◽

Polycystic Ovary ◽

Learning Approaches ◽

Tree Establishment ◽

Ovary Syndrome ◽

And Performance

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Raman spectroscopy of follicular fluid and plasma with machine-learning algorithms for polycystic ovary syndrome screening

Molecular and Cellular Endocrinology ◽

10.1016/j.mce.2020.111139 ◽

2021 ◽

Vol 523 ◽

pp. 111139

Author(s):

Xinyi Zhang ◽

Bo Liang ◽

Jun Zhang ◽

Xinyao Hao ◽

Xiaoyan Xu ◽

...

Keyword(s):

Machine Learning ◽

Raman Spectroscopy ◽

Polycystic Ovary Syndrome ◽

Follicular Fluid ◽

Polycystic Ovary ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Ovary Syndrome

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Machine Learning Approach: Detecting Polycystic Ovary Syndrome & It's Impact on Bangladeshi Women

10.1109/icccnt51525.2021.9580143 ◽

2021 ◽

Author(s):

Nusrat Nabi ◽

Sumiya Islam ◽

Sharun Akter Khushbu ◽

Abu Kaisar Mohammad Masum

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Learning Approach ◽

Ovary Syndrome ◽

Machine Learning Approach

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Identification of Non-invasive Cytokine Biomarkers for Polycystic Ovary Syndrome Using Supervised Machine Learning

Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '18 ◽

10.1145/3233547.3233611 ◽

2018 ◽

Author(s):

Daniela Silvia Perry ◽

Jeremy Gunawardena ◽

Nicolas Orsi

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Supervised Machine Learning ◽

Ovary Syndrome ◽

Non Invasive

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Diagnosis of polycystic ovary syndrome through different machine learning and feature selection techniques

Health and Technology ◽

10.1007/s12553-021-00613-y ◽

2021 ◽

Author(s):

Homay Danaei Mehr ◽

Huseyin Polat

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Ovary Syndrome ◽

Feature Selection Techniques

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i-HOPE: Detection And Prediction System For Polycystic Ovary Syndrome (PCOS) Using Machine Learning Techniques

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON) ◽

10.1109/tencon.2019.8929674 ◽

2019 ◽

Cited By ~ 1

Author(s):

Amsy Denny ◽

Anita Raj ◽

Ashi Ashok ◽

C Maneesh Ram ◽

Remya George

Keyword(s):

Machine Learning ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Machine Learning Techniques ◽

Prediction System ◽

Ovary Syndrome ◽

Learning Techniques

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