Predicting in-hospital length of stay for very-low-birth-weight preterm infants using machine learning techniques

Predicting in-hospital length of stay for very-low-birth-weight preterm infants using machine learning techniques

The in-hospital length of stay (LOS) among very-low-birth-weight (VLBW, BW 

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Bibliographische Detailangaben
Veröffentlicht in:Journal of the Formosan Medical Association 2022-06, Vol.121 (6), p.1141-1148
Hauptverfasser: Lin, Wei-Ting, Wu, Tsung-Yu, Chen, Yen-Ju, Chang, Yu-Shan, Lin, Chyi-Her, Lin, Yuh-Jyh
Format: Artikel
Sprache:eng
Schlagworte:
Hospitals
Humans
Infant
Infant, Newborn
Infant, Premature
Infant, Very Low Birth Weight
Length of Stay
Machine Learning
Retrospective Studies
Retrospective study
Very-low-birth-weight infants
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Beschreibung
Zusammenfassung:The in-hospital length of stay (LOS) among very-low-birth-weight (VLBW, BW 
ISSN:0929-6646
1876-0821
DOI:10.1016/j.jfma.2021.09.018