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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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English English English |
| Published: |
Kassel University Press
2019
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| Subjects: | |
| 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 |
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| Institution: | Universitas Airlangga |
| Language: | English English English |