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

• DOI: 10.3991/ijoe.v15i02.9680
• Publication Date: 2019-01-31T15:22:48Z
• Authors: Endah Purwanti; Ichroom Septa Pre...; Ernawati Ernawati
• Keywords: Backpropagation

Pre-eclampsia still dominates maternal mortality cases in Indonesia. One effort that can be done is to establish early detection of the risk pre-eclampsia pregnant women. Automated devices with high accuracy are needed detect so ratio reduced. This study aims design an system for based on artificial neural networks. The designed 11 input parameters form factors and output positive or negative pre-eclampsia. classification tool used this backpropagation network cross validation scenario at training stage. advantage weighting factor by obstetric gynecology specialists results testing device show accuracy. In addition, was also conducted user acceptance tests a number