학술논문
Application of Naive Bayes Method for IUGR (Intra Uterine Growth Restriction) Diagnosis on The Pregnancy
Document Type
Conference
Source
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) Electrical, Communication, and Computer Engineering (ICECCE), 2020 International Conference on. :1-4 Jun, 2020
Subject
Language
Abstract
Intra Uterine Growth Restriction is a condition when the infant fails to grow as expected (smaller) than normal size and can be affected to the safety of pregnant women and the fetus. Data mining can be used as a tool to make prediction and diagnosis of IUGR. This study deals with IUGR dataset from the hospital and applied Naïve Bayes method as one of the potential method in the Data Mining. The diagnosis can be classified based on existing aspects. In the experiment result, the average accuracy value obtained from testing of Naive Bayes is 84%, with precision 52.5%, recall 86.7% and specificity 83.8%, which results show a pretty good performance.