Predicting Birth Weight Using Artificial Neural Network

Download Edit this record How to cite View on PhilPapers
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.
Categories
No categories specified
(categorize this paper)
PhilPapers/Archive ID
ALSPBW
Revision history
Archival date: 2019-01-29
View upload history
References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Added to PP index
2019-01-29

Total views
38 ( #33,684 of 39,921 )

Recent downloads (6 months)
38 ( #13,624 of 39,921 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks to external links.