발달 예후에 따른 후기 미숙아의 비지도 군집화
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김호 | - |
dc.contributor.author | 송준환 | - |
dc.contributor.author | 김승수 | - |
dc.date.accessioned | 2022-11-28T07:40:17Z | - |
dc.date.available | 2022-11-28T07:40:17Z | - |
dc.date.issued | 2022-09 | - |
dc.identifier.issn | 2508-4887 | - |
dc.identifier.issn | 2508-4895 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21525 | - |
dc.description.abstract | Objective: This study aimed to derive the subtype of late preterm infants (gestational age, 34 to 36 weeks) according to their developmental outcomes. Methods: We retrospectively investigated the medical records of premature infants who had undergone developmental testing and were discharged from a single regional newborn intensive care center. We used 5 domains (motor, language, cognition, social-emotional, adaptive behavior) of the Korean version of the Bayley scale of infant and toddler development III (K-Bayley III) to group subjects. K-means clustering (KM), hierarchical clustering, and density-based spatial clustering of applications with noise were used. We used the average silhouette index (ASI) and Calinski-Harabasz (C-H) score as evaluation metrics. Results: KM showed the best performance (ASI, 0.25; C-H score, 58.83) and revealed 3 clusters. Cluster 1 (need observation) showed low normal scores in K-Bayley III Scales, and cluster 2 (excellent development) showed high normal scores. In contrast, cluster 3 (global delay) showed delayed or borderline scores other than the social-emotional scale. Maternal age (P<0.01), number of fetuses (P=0.03), prenatal steroid use (P=0.01), pH (P<0.01), and base excess (P=0.03) showed a statistical significance among the 3 clusters. Conclusion: The authors found 3 phenotypes with distinct developmental outcomes among late preterm infants and discovered variables necessary for their prediction. If the target group, requiring developmental testing, can be screened early by using these predictors, it may be beneficial in improving the developmental prognosis of late preterm infants. | - |
dc.format.extent | 9 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한주산의학회 | - |
dc.title | 발달 예후에 따른 후기 미숙아의 비지도 군집화 | - |
dc.title.alternative | Unsupervised Clustering of Late Preterm Infants in Terms of Developmental Outcome | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | Perinatology, v.33, no.3, pp 127 - 135 | - |
dc.citation.title | Perinatology | - |
dc.citation.volume | 33 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 127 | - |
dc.citation.endPage | 135 | - |
dc.identifier.kciid | ART002879210 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Premature infants | - |
dc.subject.keywordAuthor | Child development | - |
dc.subject.keywordAuthor | Cluster analysis | - |
dc.subject.keywordAuthor | Unsupervised machine learning | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.