Exploring deep learning and machine learning approaches for brain hemorrhage detection

S Ahmed, JF Esha, MS Rahman, MS Kaiser… - IEEE …, 2024 - ieeexplore.ieee.org
Brain hemorrhage refers to a potentially fatal medical disorder that affects millions of
individuals. The percentage of patients who survive can be significantly raised with the …

Exploring the molecular interaction of PCOS and endometrial carcinoma through novel hyperparameter-optimized ensemble clustering approaches

P Karadayı Ataş - Mathematics, 2024 - mdpi.com
Polycystic ovary syndrome (PCOS) and endometrial carcinoma (EC) are gynecological
conditions that have attracted significant attention due to the higher prevalence of EC in …

[HTML][HTML] Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women

B Panjwani, J Yadav, V Mohan, N Agarwal, S Agarwal - Sensors, 2025 - mdpi.com
Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women
worldwide; however, due to a lack of public awareness, as well as the expensive testing …

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

SO Graselin, T Arunprasath… - 2023 2nd …, 2023 - ieeexplore.ieee.org
Women lacking appropriate nutrients in their meals are having the most rising non-
communicable illness called Polycystic Ovary Syndrome (PCOS). The major reason behind …

Polycystic ovary syndrome detection using optimized SVM and DenseNet

E Silambarasan, G Nirmala, I Mishra - International Journal of Information …, 2024 - Springer
Polycystic ovary syndrome (PCOS) is a complicated endocrine disease that significantly
impacts the health of women, affecting fertility and leading to various critical conditions …

Forest fire detection using IoT and machine learning

P Ghadekar, A Amune, M Sayyed, S Patil… - Artificial Intelligence …, 2024 - taylorfrancis.com
Forest fires cause widespread environmental destruction and loss of human lives,
necessitating effective early detection systems. This paper proposes an Internet of Things …

Hybrid PCOS net: A synergistic CNN-LSTM approach for accurate polycysti covary syndrome detection

NAR Kumar, V Varadarajan - 2024 - researchsquare.com
PCOS, a common hormonal disorder in women of reproductive age, manifests with
symptoms like irregular periods, ovarian cysts, and hormonal imbalances. Early diagnosis …

Empowering Women's Health: Machine Learning for PCOS Detection and Prediction

V Avasthi, A Kumar, A Bhardwaj… - … on Distributed Computing …, 2024 - ieeexplore.ieee.org
This research delves into the prompt identification and prediction of Polycystic Ovary
Syndrome utilizing machine learning, specifically focusing on the XGBoost algorithm …

Unravelling the Enigma of Polycystic Ovary Syndrome (PCOS): Using MLAlgorithms

S Juneja, BS Bhati, S Atwal, M Anand… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
The difficulties and ramifications of PCOS, which affects a sizable portion of women who are
of reproductive age, are discussed in this review. The article covers the various clinical …

A Novel Deep Learning Technique Based Automatic Detection of Polycystic Ovary Syndrome Using Ultrasound Images

J Prathibanandhi, GSAG Vimala - 2024 9th International …, 2024 - ieeexplore.ieee.org
One of the most common reasons women can't conceive is a hormonal issue called
polycystic ovarian syndrome (PCOS). Symptoms of polycystic ovarian syndrome include …