CATEGORICAL REGRESSION ANALYSIS WITH MEDICAL APPLICATION
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
PUSHPA PUBLISHING HOUSE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, for the birth weight, a novel system based on categorical regression is proposed. Factors affecting birth weight of newborn are examined with categorical regression. The main purpose of the model development is to examine the causal relationship between independent and dependent variables. It is believed that the prepared Categorical Regression Analysis system may be useful for physicians to make decisions about the factors affecting the birth weight of babies during pregnancies. The results show that categorical regression analysis system based on a learning method can assist in the prediction of birth weight.
Açıklama
SIMSEK, Necip/0000-0003-3061-5770
WOS:000518180900008
WOS:000518180900008
Anahtar Kelimeler
categorical regression, birth weight, neonate
Kaynak
JP JOURNAL OF BIOSTATISTICS
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
16
Sayı
2
