[HTML][HTML] Artificial intelligence in human in vitro fertilization and embryology

N Zaninovic, Z Rosenwaks - Fertility and Sterility, 2020 - Elsevier
Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro
fertilization (IVF) process. It aims to choose the “best” embryos from the larger cohort of …

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

H Danaei Mehr, H Polat - Health and Technology, 2022 - Springer
Polycystic ovary syndrome (PCOS) has been determined as one of the serious health
problems among women which affects women's fertility and leads to crucial health …

Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review

S Arora, Vedpal, N Chauhan - Multimedia Tools and Applications, 2024 - Springer
Abstract Polycystic Ovarian Syndrome, also known as PCOS, is a major hormonal
imbalance affecting women primarily in their reproductive age. Women with PCOS may have …

Computational intelligence for early detection of infertility in women

R Subha, BR Nayana, R Radhakrishnan… - … Applications of Artificial …, 2024 - Elsevier
Abstract Polycystic Ovary Syndrome (PCOS) is a major cause of female infertility. Early
detection and treatment are critical in improving patients' prognoses. The current fertility …

Bioengineering: A Promising Approach for Standardization and Automation of ART

F Amjad, MA Hajari, A Dalman, H Baharvand… - F&S Reviews, 2024 - Elsevier
Assisted reproductive technology (ART) is a commonly used treatment for infertile couples.
However, the suboptimal success rate of ART highlights the urgent need for optimization …

Computerized diagnosis of polycystic ovary syndrome using machine learning and swarm intelligence techniques

R Subha, BR Nayana, R Radhakrishnan, P Sumalatha - 2023 - researchsquare.com
Abstract Polycystic Ovary Syndrome (PCOS) is one of the profound causes of infertility in
women. Early detection, and treatment is essential in improving the prognosis in patients …

[HTML][HTML] Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification …

I Haq, MI Hossain, MM Rahman… - … Annual Volume 2022, 2022 - intechopen.com
Contraception enables women to exercise their human right to choose the number and
spacing of their children. The present study identified the best model selection procedure …

application of machine learning and artificial intelligence techniques for IVF analysis and prediction

SK Tadepalli, PV Lakshmi - International Journal of Big Data and …, 2019 - igi-global.com
Infertility is the combination of factors that prevent pregnancy. It involves a lot of care and
expertise while selecting the best embryo to lead to a successful pregnancy. Assistive …

Automatic Diagnosis of Polycystic Ovarian Syndrome Using Wrapper Methodology with Deep Learning Techniques.

M Abouhawwash, S Sridevi… - … Systems Science & …, 2023 - search.ebscohost.com
One of the significant health issues affecting women that impacts their fertility and results in
serious health concerns is Polycystic ovarian syndrome (PCOS). Consequently, timely …

[PDF][PDF] Classifiers with synthetic oversampling pre-process for In Vitro Fertilization predictions

GH Priya, K Amuthavalli, T Vijayan, K Prabhu… - Indian Journal of …, 2021 - ijcse.com
Assisted reproductive technology (ART) has been explored extensively to establish the
predictive models as one of the automated tool to measure the for-IVF quality outcomes …