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

• Main Authors: Endah Purwanti, Ichroom Septa Preswari, Ernawati
• Format: Article PeerReviewed
• Language: English; English; English
• Published: Kassel University Press 2019
• Subjects: R Medicine (General); RG Gynecology and obstetrics
• Online Access: 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
• Institution: Universitas Airlangga

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...