Predictors of in-ICU length of stay among congenital heart defect patients using artificial intelligence model: A pilot study

Chang, João; Fernando Canêo, Luiz; Luiza Ribeiro Turquetto, Aída; Patrick Amato, Luciana; Cristina Trevisan Calvo Arita, Elisandra; Manoel da Silva Fernandes, Alfredo; Trindade, Evelinda; Biscegli Jatene, Fábio; Dossou, Paul-Eric; Biscegli Jatene, Marcelo

doi:10.1016/j.heliyon.2024.e25406

Public

Predictors of in-ICU length of stay among congenital heart defect patients using artificial intelligence model: A pilot study

Published in Heliyon • Feb 1, 2024

Authors:

João Chang

Luiz Fernando Canêo

Aída Luiza Ribeiro Turquetto

Abstract

Objective: This study aims to develop a predictive model using artificial intelligence to estimate the ICU length of stay (LOS) for Congenital Heart Defects (CHD) patients after surgery, improving care planning and resource management. Design: We analyze clinical data from 2240 CHD surgery patients ...

Subject

Medicine

Mechanical ventilation

Hematocrit

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