TY - JOUR
T1 - The baby delivery method estimation using naïve bayes classification model for mobile application
AU - Iftitah, Ewika Nadya
AU - Rulaningtyas, Riries
AU - Ernawati,
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/12/23
Y1 - 2018/12/23
N2 - The maternal mortality rate because of cesarean delivery is still high caused by lack of knowledge of pregnant women about the high risk of pregnancy. Cesarean delivery is an alternative labor but remains at high risk for both mother and fetus. The awareness of the mother to check her pregnancy early and precisely is very important. To support the awareness attitude of pregnant women to their health, so in this research has made an application program for the mobile application based on Android by using Naïve Bayes classification model to predict early childbirth process that will be undertaken. From this research, it can be concluded that the application of the baby delivery method estimation with Naïve Bayes model based on Android can educate pregnant women about high-risk pregnancy condition and prediction of delivery method that will be done with 90% accuracy, 100% sensitivity, and 80% specificity.
AB - The maternal mortality rate because of cesarean delivery is still high caused by lack of knowledge of pregnant women about the high risk of pregnancy. Cesarean delivery is an alternative labor but remains at high risk for both mother and fetus. The awareness of the mother to check her pregnancy early and precisely is very important. To support the awareness attitude of pregnant women to their health, so in this research has made an application program for the mobile application based on Android by using Naïve Bayes classification model to predict early childbirth process that will be undertaken. From this research, it can be concluded that the application of the baby delivery method estimation with Naïve Bayes model based on Android can educate pregnant women about high-risk pregnancy condition and prediction of delivery method that will be done with 90% accuracy, 100% sensitivity, and 80% specificity.
UR - http://www.scopus.com/inward/record.url?scp=85059363749&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1120/1/012049
DO - 10.1088/1742-6596/1120/1/012049
M3 - Conference article
AN - SCOPUS:85059363749
SN - 1742-6588
VL - 1120
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012049
T2 - 8th International Conference on Theoretical and Applied Physics, ICTAP 2018
Y2 - 20 September 2018 through 21 September 2018
ER -
