Early Risk Detection of Pre-eclampsia for Pregnant Women Using Artificial Neural Network

Early Risk Detection of Pre-eclampsia for Pregnant Women Using Artificial Neural Network

Pre-eclampsia still dominates maternal mortality cases in Indonesia. One effort that can be done is to establish early detection of the risk of pre-eclampsia in pregnant women. Automated devices with high accuracy are needed to detect the risk of pre-eclampsia so that the maternal mortality ratio ca...

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書目詳細資料
Main Authors:	Endah Purwanti, Ichroom Septa Preswari, Ernawati
格式:	Article PeerReviewed
語言:	English English English
出版:	Kassel University Press 2019
主題:	R Medicine (General) RG Gynecology and obstetrics
在線閱讀:	http://repository.unair.ac.id/100485/1/7.%20Early%20Risk%20Detection%20of%20Pre-eclampsia%20for%20Pregnant%20women%20using%20Artificial%20Neural%20Network.pdf http://repository.unair.ac.id/100485/2/Early%20Risk%20Detection.pdf http://repository.unair.ac.id/100485/3/Early%20Risk%20Detection%20of%20Pre-eclampsia%20for%20Pregnant%20women%20using%20Artificial%20Neural%20Network.pdf http://repository.unair.ac.id/100485/ https://online-journals.org/index.php/i-joe/article/view/9680
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