Prediction of Low Birth Weight in Infants via Artificial Intelligence Techniques without Using Sonographic Measurements
Background: Birth weight is probably the most important factor affecting neonatal mortality and morbidity. Compared with normal weight infants, low-birth-weight (LBW) infants may be more at risk for many health problems. The prediction of low birth weight is important as it may cause mental and phys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Vesnu Publications
2015-05-01
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| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/4556 |