The Application of A Priori Algorithms in Determining the Relationship Between Maternal Age and Pregnancy Conditions

Abstract

Pregnancy is an important phase in a woman's life that can affect the condition of the pregnancy, including the age of the mother. The age of the mother during pregnancy is often associated with certain complications, such as premature birth, preeclampsia, and fetal development disorders. Based on health data, women who are too young or too old are more likely to experience complications such as bleeding, hypertension during pregnancy, and infections during pregnancy compared to women of ideal reproductive age (20–35 years). Dr. Edward Binjai Clinic is one of the health facilities that provides services to pregnant women, including monitoring pregnancy conditions and treating complications. Until now, medical personnel at the clinic have treated patients based on experience and general protocols without a system that automatically analyzes historical patient data to find the relationship between maternal age and pregnancy risk. As a result, prevention of complications such as preeclampsia, premature birth, or pregnancy hypertension is still less than optimal. Data processing using the Apriori algorithm showed that out of 30 rules formed, there was a best rule with the highest support value of 30% and confidence of 100%. This proves that the relationship between maternal age and pregnancy conditions has a clear pattern and can be used as a basis for developing maternal health strategies, especially for vulnerable age groups.