Multi-modal learning for inpatient length of stay prediction.

Chen, Junde; Wen, Yuxin; Pokojovy, Michael; Tseng, Tzu-Liang Bill; McCaffrey, Peter; Vo, Alexander; Walser, Eric; Moen, Scott

Chen, Junde; Wen, Yuxin; Pokojovy, Michael; Tseng, Tzu-Liang Bill; McCaffrey, Peter; Vo, Alexander; Walser, Eric; Moen, Scott.

Afiliação

Chen J; Dale E. and Sarah Ann Fowler School of Engineering, Chapman University, Orange, CA, 92866, USA.
Wen Y; Dale E. and Sarah Ann Fowler School of Engineering, Chapman University, Orange, CA, 92866, USA. Electronic address: yuwen@chapman.edu.
Pokojovy M; Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, 23529, USA.
Tseng TB; Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at El Paso, El Paso, TX, 79968, USA.
McCaffrey P; University of Texas Medical Branch, Galveston, TX, 77550, USA.
Vo A; University of Texas Medical Branch, Galveston, TX, 77550, USA.
Walser E; University of Texas Medical Branch, Galveston, TX, 77550, USA.
Moen S; University of Texas Medical Branch, Galveston, TX, 77550, USA.

Comput Biol Med ; 171: 108121, 2024 Mar.

Article em En | MEDLINE | ID: mdl-38382388

Assuntos

Pacientes Internados; Aprendizagem; Humanos; Tempo de Internação; Hospitalização; Cuidados Críticos

Palavras-chave

Chest X-ray images; Data-fusion model; Length of stay prediction; Multi-modal learning

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pacientes Internados / Aprendizagem Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google