Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment

dc.contributor.author	Comert, Zafer
dc.contributor.author	Kocamaz, Adnan Fatih
dc.contributor.author	Subha, Velappan
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2018
dc.identifier.issn	0010-4825
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10234
dc.identifier.uri	https://doi.org/10.1016/j.compbiomed.2018.06.003
dc.description.abstract	Cardiotocography (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.iso	English
dc.publisher	Pergamon-Elsevıer Scıence Ltd
dc.source	Computers In Bıology And Medıcıne
dc.title	Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
dc.type	Article
dc.identifier.startpage	85
dc.identifier.endpage	97
dc.identifier.doi	10.1016/j.compbiomed.2018.06.003
dc.identifier.wos	WOS:000442978700008
dc.identifier.volume	99

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