Mohammed, Al-Shawwa and Samy, S. (2024) Predicting Birth Weight Using Artificial Neural Network. International conference on multidisciplinary science; Vol. 2 No. 3 (2024): International conference on multidisciplinary science; 5-10.
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Abstract
In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals.
The evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from International conference on multidisciplinary science (MJST) |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 24 Sep 2026 22:42 |
| Last Modified: | 24 Sep 2026 22:42 |
| URI: | https://universalpublishings.uz/id/eprint/9352 |
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