TY - GEN
T1 - Expert system for risk prediction of cesarean section delivery with Dempster Shafer method
AU - Ismaiba,
AU - Rulaningtyas, Riries
AU - Katherine,
AU - Ernawati,
N1 - Publisher Copyright:
© 2020 Author(s).
PY - 2020/12/9
Y1 - 2020/12/9
N2 - The maternal mortality rate in Indonesia is related to the lack of knowledge of mothers regarding high-risk pregnancies, especially with cesarean delivery. In this case, the prediction system designed is done as an effort to increase the awareness of mothers or women who were preparing for high-risk pregnancies. In this article, an Android-based prediction application will be presented using an expert system with the Dempster Shafer method. This method is based on a mathematical theory which consists of a combination of belief function and plausible reasoning from the risk parameters of each labor class by representing the knowledge obtained from experts. This study uses 16 risk parameters as input based on Poejo Rochati's high-risk pregnancy card with 2 outputs, with risk or no risk of having cesarean delivery. The result obtained from this system is 85%, concludes that the prediction system is able to predict the risk of cesarean delivery.
AB - The maternal mortality rate in Indonesia is related to the lack of knowledge of mothers regarding high-risk pregnancies, especially with cesarean delivery. In this case, the prediction system designed is done as an effort to increase the awareness of mothers or women who were preparing for high-risk pregnancies. In this article, an Android-based prediction application will be presented using an expert system with the Dempster Shafer method. This method is based on a mathematical theory which consists of a combination of belief function and plausible reasoning from the risk parameters of each labor class by representing the knowledge obtained from experts. This study uses 16 risk parameters as input based on Poejo Rochati's high-risk pregnancy card with 2 outputs, with risk or no risk of having cesarean delivery. The result obtained from this system is 85%, concludes that the prediction system is able to predict the risk of cesarean delivery.
UR - http://www.scopus.com/inward/record.url?scp=85097994637&partnerID=8YFLogxK
U2 - 10.1063/5.0035200
DO - 10.1063/5.0035200
M3 - Conference contribution
AN - SCOPUS:85097994637
T3 - AIP Conference Proceedings
BT - 2nd International Conference on Physical Instrumentation and Advanced Materials 2019
A2 - Trilaksana, Herri
A2 - Harun, Sulaiman Wadi
A2 - Shearer, Cameron
A2 - Yasin, Moh
PB - American Institute of Physics Inc.
T2 - 2nd International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2019
Y2 - 22 October 2019
ER -
