Expert system for predicting the early pregnancy with disorders using artificial neural network
| Main Authors: | Maylawati, Dian Sa'adillah, Ramdhani, Muhammad Ali, Budiawan Zulfikar, Wildan, Taufik, Ichsan, Darmalaksana, Wahyudin |
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| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
http://digilib.uinsgd.ac.id/5108/1/IEEE-Expert%20system%20for%20predicting%20the%20early%20pregnancy.pdf http://digilib.uinsgd.ac.id/5108/ http://doi.org/10.1109/CITSM.2017.8089243 |
Daftar Isi:
- Pregnancy is an important moment of growth of the human being. In many case women do not know that she is being pregnant, this is one of the causes of miscarriage. For healthy pregnancy also need to be guarded by knowing abnormalities early in pregnancy. There are several early pregnancy disorder among others hyperemesis gravidarum, pre-eclampsia and eclampsia, hydatidiform mole, and ectopic pregnancy. In this research, we propose an expert system using Artificial Neural Network (ANN) and Back Propagation algorithm for predicting the pregnancy with disorders early. We used 172 medical records of patient with 17 input parameters and 5 output classes, among others normal early pregnancy, and 4 classes for pregnancy disorders. The experiment with training and testing process showed that ANN could be applied to predict the disorders pregnancy with percentage of accuracy around 78,248%. The percentage is got by 0,1 of learning rate value, 17 of neuron input layers, 50 of neuron hidden layers, 5 of neuron output layers, and 0,01 of error value.