Optimization of Certainty Factor Method to Detect Preeclampsia in Women Pregnant

Linda Wanti, Nur Prasetya, Laura Sari, Lina Puspitasari

2021

Abstract

Preeclampsia is a hypertensive disorder in pregnant women that significantly affects morbidity and one of the causes of death in pregnant women and fetuses. According to WHO data, the prevalence of preeclampsia is 1.8-18% in developing countries, while in developed countries it is 1.3-6%. This value indicates that in developing countries the case of pregnant women with preeclampsia is higher than in developed countries because preventive treatment for pregnant women with preeclampsia is handled faster in developed countries than in developing countries. In Indonesia alone, the Maternal Mortality Ratio (MMR) for the last 10 years amounted to 459 maternal and fetal deaths from 100,000 births with the frequency of occurrence of preeclampsia around 3% to 10% of the total number of pregnancies. The purpose of this study is the early detection of preeclampsia in pregnant women through diagnosis carried out using the Expert system so that pregnant women get preventive measures as an early prevention of preeclampsia disease that attacks and reduces the MMR rate. Another goal is to provide recommendations for therapy that can be given to pregnant women with preeclampsia. This research uses an optimized certainty factor method so as to provide a certainty value about the Expert’s statement through the Expert’s confidence level which is symbolized by a number in the range -1 to 1 in diagnosing preeclampsia. The output of this study is the result of expert diagnosis by optimizing the certainty factor method which provides recommendations for preventive actions to be taken to pregnant women with preeclampsia.

Paper Citation

in Harvard Style

Wanti L., Prasetya N., Sari L. and Puspitasari L. (2021). Optimization of Certainty Factor Method to Detect Preeclampsia in Women Pregnant. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 147-155. DOI: 10.5220/0010941400003260

in Bibtex Style

@conference{icast-es21,
author={Linda Wanti and Nur Prasetya and Laura Sari and Lina Puspitasari},
title={Optimization of Certainty Factor Method to Detect Preeclampsia in Women Pregnant},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={147-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010941400003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Optimization of Certainty Factor Method to Detect Preeclampsia in Women Pregnant
SN - 978-989-758-615-6
AU - Wanti L.
AU - Prasetya N.
AU - Sari L.
AU - Puspitasari L.
PY - 2021
SP - 147
EP - 155
DO - 10.5220/0010941400003260