PERBANDINGAN METODE KLASIFIKASI REGRESI LOGISTIK BINER DAN RADIAL BASIS FUNCTION NETWORK PADA BERAT BAYI LAHIR RENDAH (Studi Kasus: Puskesmas Pamenang Kota Jambi)
Low Birth Weight (LBW) is one of the main causes of infant mortality. LBW must be identified and predicted before the baby birth by observing historical data of expectant. This research aims to analyze the classification of status newborn in order to reduce the risk of LBW. The statistical method us...
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| Format: | Academic Paper |
| Published: |
2015-10-30.
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| Online Access: | http://eprints.undip.ac.id/47461/ |
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http://eprints.undip.ac.id/47461/3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |