Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants using Artificial Intelligence Mode

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DC Field	Value	Language
dc.contributor.author	Yoon, Sojin	-
dc.contributor.author	Lee, Soon Min	-
dc.contributor.author	Kwon, Yura	-
dc.date.accessioned	2026-06-11T01:49:06Z	-
dc.date.available	2026-06-11T01:49:06Z	-
dc.date.created	2026-05-22	-
dc.date.issued	2022-12	-
dc.identifier.uri	https://ir.ymlib.yonsei.ac.kr/handle/22282913/212539	-
dc.language	영어	-
dc.publisher	Institute of Electrical and Electronics Engineers Inc.	-
dc.relation.isPartOf	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022	-
dc.title	Prediction of Postnatal Growth Failure in Very Low Birth Weight Infants using Artificial Intelligence Mode	-
dc.type	Article	-
dc.contributor.googleauthor	Yoon, Sojin	-
dc.contributor.googleauthor	Lee, Soon Min	-
dc.contributor.googleauthor	Kwon, Yura	-
dc.identifier.doi	10.1109/BigData55660.2022.10021015	-
dc.identifier.url	https://ieeexplore.ieee.org/document/10021015	-
dc.contributor.affiliatedAuthor	Yoon, Sojin	-
dc.contributor.affiliatedAuthor	Lee, Soon Min	-
dc.identifier.scopusid	2-s2.0-85147935521	-
dc.citation.startPage	6841	-
dc.citation.endPage	6843	-
dc.identifier.bibliographicCitation	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 : 6841-6843, 2022-12	-
dc.identifier.rimsid	93012	-
dc.type.rims	ART	-
dc.description.journalClass	1	-
dc.description.journalClass	1	-
dc.type.docType	Conference paper	-
dc.description.isOpenAccess	N	-
dc.description.journalRegisteredClass	scopus	-

Appears in Collections:: 1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers

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