Akademik Veri Yönetim Sistemi
10th International Eurasian Conference on Mathematical Sciences and Applications (IECMSA-2021), Sakarya, Türkiye, 25 - 27 Ağustos 2021, ss.172-173, (Özet Bildiri)
The objective of the study is to establish a model that can directly predict the termination recommendation of physicians to whom women refer to our center for teratological counseling making the most accurate model with the least possible variable. We determined the week of exposure to radiation, exposure dose, day of admission to hospital, age, and referring institution as dependent variables. We compared the model we created using these variables with Nave Bayes, kNN, SVM,
ANN, and Logistic regression methods. We estimated the physicians' termination recommendation with 80% accuracy in the ANN method. By using this model, pregnant women exposed to radiation can be detected before termination and non-indicative general losses can be prevented with appropriate teratological counseling.