Impact of Cross-validation on Machine Learning models for early detection of intrauterine fetal demise
Intrauterine fetal demise in women during pregnancy is a major contributing factor in
prenatal mortality and is a major global issue in developing and underdeveloped countries …
prenatal mortality and is a major global issue in developing and underdeveloped countries …
A Theoretical Exploration of Artificial Intelligence's Impact on Feto-Maternal Health from Conception to Delivery
I Yaseen, RA Rather - International Journal of Women's Health, 2024 - Taylor & Francis
Abstract The implementation of Artificial Intelligence (AI) in healthcare is enhancing
diagnostic accuracy in clinical setups. The use of AI in healthcare is steadily increasing with …
diagnostic accuracy in clinical setups. The use of AI in healthcare is steadily increasing with …
[HTML][HTML] Artificial intelligence-driven predictive framework for early detection of still birth
Predictive modeling is becoming increasingly popular in the context of early disease
detection. The use of machine learning approaches for predictive modeling can help early …
detection. The use of machine learning approaches for predictive modeling can help early …
Improve Classification Quality of Fetal Status from Cardiotocogram Data by Using Machine Learning
TH Dang, HT Thi - 2023 1st International Conference on …, 2023 - ieeexplore.ieee.org
In pregnance duration, there may be various reasons which may cause a problem which
may lead to mortality in the newborn. To minimize such accidents, one of the most significant …
may lead to mortality in the newborn. To minimize such accidents, one of the most significant …