Classification Algorithms of Maternal Risk Detection For Preeclampsia With Hypertension During Pregnancy Using Particle Swarm Optimization

Classification Algorithms of Maternal Risk Detection For Preeclampsia With Hypertension During Pregnancy Using Particle Swarm Optimization

Preeclampsia is a pregnancy abnormality that develops after 20 weeks of pregnancy characterized by hypertension and proteinuria.  The purpose of this research was to predict the risk of preeclampsia level in pregnant women during pregnancy process using Neural Network and Deep Learning algorithm,...

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Bibliographic Details
Main Authors: Muhlis Tahir, Tessy Badriyah, Iwan Syarif
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2018-12-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
Data Mining
Preeclampsia
Feature Selection
Classification.
Online Access:https://emitter.pens.ac.id/index.php/emitter/article/view/287

Internet

https://emitter.pens.ac.id/index.php/emitter/article/view/287

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