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dc.contributor.authorComert, Zafer
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorSubha, Velappan
dc.date.accessioned16/12/21 12:07
dc.date.available16/12/21 12:07
dc.date.issued2018
dc.identifier.issn0010-4825
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10234
dc.identifier.urihttps://doi.org/10.1016/j.compbiomed.2018.06.003
dc.description.abstractCardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part of pre
dc.language.isoEnglish
dc.publisherPergamon-Elsevıer Scıence Ltd
dc.sourceComputers In Bıology And Medıcıne
dc.titlePrognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
dc.typeArticle
dc.identifier.startpage85
dc.identifier.endpage97
dc.identifier.doi10.1016/j.compbiomed.2018.06.003
dc.identifier.wosWOS:000442978700008
dc.identifier.volume99


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