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

Background/Purpose: The in-hospital length of stay (LOS) among very-low-birth-weight (VLBW, BW < 1500 g) infants is an index for care quality and affects medical resource allocation. We aimed to analyze the LOS among VLBW infants in Taiwan, and to develop and compare the performance of different...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Main Authors: Wei-Ting Lin, Tsung-Yu Wu, Yen-Ju Chen, Yu-Shan Chang, Chyi-Her Lin, Yuh-Jyh Lin
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2022-06-01
Colecção:Journal of the Formosan Medical Association
Assuntos:
Machine learning
Length of stay
Retrospective study
Very-low-birth-weight infants
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S092966462100440X
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados