CATEGORICAL REGRESSION ANALYSIS WITH MEDICAL APPLICATION

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dc.contributor.authorSimsek, Necip
dc.contributor.authorBagdatli, Seda
dc.contributor.authorKirisci, Murat
dc.date.accessioned2021-01-25T21:47:57Z
dc.date.available2021-01-25T21:47:57Z
dc.date.issued2019
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.descriptionSIMSEK, Necip/0000-0003-3061-5770en_US
dc.descriptionWOS:000518180900008en_US
dc.description.abstractIn 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.en_US
dc.identifier.doi10.17654/BS016020121en_US
dc.identifier.endpage138en_US
dc.identifier.issn0973-5143
dc.identifier.issue2en_US
dc.identifier.startpage121en_US
dc.identifier.urihttps://doi.org/10.17654/BS016020121
dc.identifier.urihttps://hdl.handle.net/11467/4461
dc.identifier.volume16en_US
dc.identifier.wosWOS:000518180900008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherPUSHPA PUBLISHING HOUSEen_US
dc.relation.ispartofJP JOURNAL OF BIOSTATISTICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcategorical regressionen_US
dc.subjectbirth weighten_US
dc.subjectneonateen_US
dc.titleCATEGORICAL REGRESSION ANALYSIS WITH MEDICAL APPLICATIONen_US
dc.typeArticleen_US

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