Analysis of Hypertensive Disorder on High-Risk Pregnancy for Rapid Late Trimester Prediction Using Data Mining Classifiers

Karthik, Durga; Vijayarekha, K.; Sreedevi, B.; Bhavani, Rao R.

doi:10.1007/978-981-16-2422-3_38

Cited by 1 publication

(1 citation statement)

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“…Lower blood pressure achieved during pregnancy in pregnant women with chronic non-severe hypertension could improve fetal/neonatal and maternal outcomes compared to mothers with higher blood pressure [45]. In addition, pregnancy is one of the important stages for women [46].…”

Section: Discussionmentioning

confidence: 99%

The Analysis of Maternal Characteristics and Regulation of Antenatal Care on Pregnancy Risk Status Based on The Independent Family Health Evaluation (IFHE)

Indriyani,

Yunitasari,

Efendi

et al. 2023

APJHM

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Background: High-risk pregnancy is a serious problem and needs to be detected early. Pregnant women with risk categories have a direct impact on the fetus. This study aimed to analyze maternal characteristics and the consistency of antenatal care visits in relation to the pregnancy risk status of pregnant women using the Independent Family Health Evaluation (IFHE) Methods: This study used a cross-sectional study with a correlational design. The sample was the third-trimester pregnant women who have a maternal and child health record booklet, with a total sample of 128 respondents. The instrument used was a questionnaire adopted from the identification of family health in the IFHE application system. Data analysis was carried out using multiple logistics regression. Results: The results showed that age (p = 0.004), height (p = 0.027), number of pregnancies (p = 0.0001), history of pregnancy (p = 0.0001), history of childbirth (p = 0.001), having children under 2 years of age (p = 0.001), pregnancy complications (p = 0.0001), and history of regular antenatal care (p = 0.0001) had a significant effect on pregnancy risk status. While history of tetanus toxoid immunization showed no relationship with pregnancy risk (p = 0.332). The final modelling of multiple logistic regression showed that the influential variables were age, the number of pregnancies and consistency of antenatal care. The number of pregnancies was the variable that had the strongest influence on pregnancy risk status (OR= 40.192). Conclusion: This research contributes valuable insights into the factors influencing pregnancy risk, providing a foundation for more effective antenatal care and ultimately better health for expectant mothers and their infants. Healthcare providers can use this information to identify pregnant women at higher risk and implement targeted interventions, thereby improving maternal and fetal outcomes.

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Section: Discussionmentioning

confidence: 99%