TY - JOUR
T1 - Short birth intervals classification for Indonesia’s women
AU - Ningrum, Ratih Ardiati
AU - Fahmiyah, Indah
AU - Levi, Aretha
AU - Syahputra, Muhammad Axel
N1 - Funding Information:
Authors thanks to the Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga for sponsoring this research under grant number 278/UN3.1.17/PT/2021.
Publisher Copyright:
© 2022, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Birth interval is closely related to maternal and infant health. According to world health organization (WHO), the birth interval between two births is at least 33 months. This study is the first to discuss the short birth interval (SBI) in Indonesia and used data from the Indonesian Demographic and Health Surveys 2017 with a total of 34,200 respondents. Birth interval means the length of time between the birth of the first child and the second child. Categorized as SBI if the distance between births is less than 33 months. The variables used include mother's age, mother's age at first giving birth, father's age, household wealth, succeeding birth interval, breastfeeding status, child sex, residence, mother's education, health insurance, mother's working status, contraception used, child alive, total children, number of living children, and household members. Machine learning algorithms including logistic regression, Naïve Bayes, lazy locally weighted learning (LWL), and sequential minimal optimization (SMO) are applied to classify SBI. Based on the values of accuracy, precision, recall, F-score, matthews correlation coefficient (MCC), receiver operator characteristic (ROC) area, precision-recall curve (PRC) area, the Naïve Bayes is the best algorithm with scores obtained 0.891, 0.889, 0.891, 0.885, 0.687, 0.972, and 0.960 respectively. Additionally, 18.25% of mothers were classified as still giving birth within a short interval.
AB - Birth interval is closely related to maternal and infant health. According to world health organization (WHO), the birth interval between two births is at least 33 months. This study is the first to discuss the short birth interval (SBI) in Indonesia and used data from the Indonesian Demographic and Health Surveys 2017 with a total of 34,200 respondents. Birth interval means the length of time between the birth of the first child and the second child. Categorized as SBI if the distance between births is less than 33 months. The variables used include mother's age, mother's age at first giving birth, father's age, household wealth, succeeding birth interval, breastfeeding status, child sex, residence, mother's education, health insurance, mother's working status, contraception used, child alive, total children, number of living children, and household members. Machine learning algorithms including logistic regression, Naïve Bayes, lazy locally weighted learning (LWL), and sequential minimal optimization (SMO) are applied to classify SBI. Based on the values of accuracy, precision, recall, F-score, matthews correlation coefficient (MCC), receiver operator characteristic (ROC) area, precision-recall curve (PRC) area, the Naïve Bayes is the best algorithm with scores obtained 0.891, 0.889, 0.891, 0.885, 0.687, 0.972, and 0.960 respectively. Additionally, 18.25% of mothers were classified as still giving birth within a short interval.
KW - Classification
KW - Infant health
KW - Machine learning
KW - Maternal health
KW - Naïve Bayes
KW - Short birth interval
UR - http://www.scopus.com/inward/record.url?scp=85131072084&partnerID=8YFLogxK
U2 - 10.11591/eei.v11i3.3432
DO - 10.11591/eei.v11i3.3432
M3 - Article
AN - SCOPUS:85131072084
VL - 11
SP - 1543
EP - 1542
JO - Bulletin of Electrical Engineering and Informatics
JF - Bulletin of Electrical Engineering and Informatics
SN - 2089-3191
IS - 3
ER -