[引用][C] Automated Labour Detection Framework to Monitor Pregnant Women with a High Risk of Premature Labour
HK Allahem - 2022
[HTML][HTML] Automated labour detection framework to monitor pregnant women with a high risk of premature labour using machine learning and deep learning
H Allahem, S Sampalli - Informatics in Medicine Unlocked, 2022 - Elsevier
It is estimated that more than 1 in 10 babies are born prematurely worldwide. Moreover,
premature babies can face lifelong health-related disabilities, such as difficulties in learning
or hearing and vision loss. By monitoring uterine contractions, physicians can evaluate the
health and progress of the pregnancy and determine if the pregnant woman is in labour,
thus assisting them to go to the hospital and help reduce the complications associated with
premature birth. In this paper, we aim to mitigate the consequences of premature birth for …
premature babies can face lifelong health-related disabilities, such as difficulties in learning
or hearing and vision loss. By monitoring uterine contractions, physicians can evaluate the
health and progress of the pregnancy and determine if the pregnant woman is in labour,
thus assisting them to go to the hospital and help reduce the complications associated with
premature birth. In this paper, we aim to mitigate the consequences of premature birth for …
以上显示的是最相近的搜索结果。 查看全部搜索结果