A prediction model for short-term neurodevelopmental impairment in preterm infants with gestational age less than 32 weeks

Autor:	Yan Li, Zhihui Zhang, Yan Mo, Qiufen Wei, Lianfang Jing, Wei Li, Mengmeng Luo, Linxia Zou, Xin Liu, Danhua Meng, Yuan Shi
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	gestational age less than 32 weeks prematurity neurodevelopmental impairment support vector machine principal component analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Zdroj:	Frontiers in Neuroscience, Vol 17 (2023)
Druh dokumentu:	article
ISSN:	1662-453X
DOI:	10.3389/fnins.2023.1166800
Popis:	IntroductionEarly identification and intervention of neurodevelopmental impairment in preterm infants may significantly improve their outcomes. This study aimed to build a prediction model for short-term neurodevelopmental impairment in preterm infants using machine learning method.MethodsPreterm infants with gestational age
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/657e2461a04146049df705768259685a Zobrazit plný text záznamu View record in DOAJ