Published February 23, 2024
| Version v1
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Predicting Birth Weight Using Artificial Neural Network
- 1. Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University - Gaza, Palestine
Description
: 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.
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References
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