A review on the detection techniques of polycystic ovary syndrome using machine learning

S Ahmed, MS Rahman, I Jahan, MS Kaiser… - IEEE …, 2023 - ieeexplore.ieee.org
Polycystic Ovary Syndrome (PCOS) is a critical hormonal disorder of women that
significantly impacts life. In this new generation, women are more prone to PCOS. It is the …

A predictive method for emotional sentiment analysis by deep learning from EEG of brainwave dataset

P Dutta, S Paul, K Cengiz, R Anand, A Kumar - Artificial intelligence for …, 2023 - Elsevier
Sentiment analysis is a popular technique for analyzing a person's behavior.
Electroencephalography (EEG) is a non-invasive device for collecting brainwaves, which …

Machine learning for diagnosis of polycystic ovarian syndrome (PCOS/PCOD)

V Srinithi, R Rekha - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
A medical illness called polycystic ovary syndrome (PCOS) affects hormones and affects
women who are in their childbearing age. A monthly cycle that is delayed or even missing is …

[PDF][PDF] PCOS detect using machine learning algorithms

K Raut, C Katkar, SA Itkar - International Research Journal of …, 2022 - academia.edu
Polycystic ovary syndrome (PCOS), also known as polycystic ovarian syndrome, is hormonal
endocrine disorder among women of reproductive age. Over five million women worldwide …

PCOS Perception analysis prediction using Machine learning algorithms

S Dhinakaran, C Thangavel… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
PCOS-Polycystic ovary syndrome is a prevalent disorder among women in their
reproductive years, characterised by irregular periods, pelvic pain, and other symptoms like …

Prediction of PCOD using Machine Learning Algorithms

S Kaushik, SK Mishra - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Women of reproductive age are disproportionately affected by polycystic ovary disease
(PCOD), a prevalent endocrine condition. This disorder is sometimes referred to as …

[图书][B] Artificial Intelligence for Cognitive Modeling: Theory and Practice

P Dutta, S Pal, A Kumar, K Cengiz - 2023 - taylorfrancis.com
This book is written in a clear and thorough way to cover both the traditional and modern
uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical …

Comparative Analysis of Classification Methods for PCOD Prediction

S Kaushik, SK Mishra - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Today's women often experience anovulation, infertility, and preterm abortions. The
condition polycystic ovarian syndrome (PCOD), which affects women of reproductive age …

Machine Learning-Driven Polycystic Ovary Syndrome Detection with Feature Selection

M Deepika, S Nachiyappan, M Braveen… - … on Recent Trends in …, 2023 - ieeexplore.ieee.org
PCOS is a common disorder that has a substantial negative impact on women's reproductive
health and may even cause infertility. The goal of this research is to develop a machine …

Enhancing the Healthcare by an Automated Detection Method for PCOS Using Supervised Machine Learning Algorithm

A Ajil, A Ali, HV Ramachandra… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Identifying Poly Cystic Ovary Syndrome (PCOS) can be challenging due to several factors
like wide spectrum of symptoms, that varies according to individual, overlapping symptoms …