Autor según el artículo: Cuadrado, David; Riano, David; Gomez, Josep; Rodriguez, Alejandro; Bodi, Maria
Departamento: Enginyeria Informàtica i Matemàtiques; Bioquímica i Biotecnologia
Autor/es de la URV: Bodi Saera, Maria Amparo / Cuadrado Gomez, David / Gómez Alvarez, Josep / Riaño Ramos, David / Rodríguez Oviedo, Alejandro Hugo
Palabras clave: Tertiary care center; Spain; Quantitative analysis; Prediction; Patient similarity; Patient heterogeneity; Patient discharge; Medical computing; Intensive care units; Intensive care unit; Humans; Human; Hospital discharge; Days to discharge prediction; Corresponding measures; Complex task; Case-mix; Case mix; Article; Adult
Resumen: Patients in intensive care units are heterogeneous and the daily prediction of their days to discharge (DTD) a complex task that practitioners and computers are not always able to solve satisfactorily. In order to make more precise DTD predictors, it is necessary to have tools for the analysis of the heterogeneity of the patients. Unfortunately, the number of publications in this field is almost non-existent. In order to alleviate this lack of tools, we propose four methods and their corresponding measures to quantify the heterogeneity of intensive patients in the process of determining the DTD. These new methods and measures have been tested with patients admitted over four years to a tertiary hospital in Spain. The results deepen the understanding of the intensive patient and can serve as a basis for the construction of better DTD predictors.
Áreas temáticas: Saúde coletiva; Medical informatics; Mathematical & computational biology; Interdisciplinar; Health informatics; Ensino; Engenharias iv; Computer science, interdisciplinary applications; Computer science applications; Ciências biológicas i; Ciência da computação
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: josep.gomez@urv.cat; david.cuadrado@estudiants.urv.cat; alejandrohugo.rodriguez@urv.cat; mariaamparo.bodi@urv.cat; mariaamparo.bodi@urv.cat
Fecha de alta del registro: 2025-01-27
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S1532046421000976?via%3Dihub
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Biomedical Informatics. 117 (103768): 103768-
Referencia de l'ítem segons les normes APA: Cuadrado, David; Riano, David; Gomez, Josep; Rodriguez, Alejandro; Bodi, Maria (2021). Methods and measures to quantify ICU patient heterogeneity. Journal Of Biomedical Informatics, 117(103768), 103768-. DOI: 10.1016/j.jbi.2021.103768
DOI del artículo: 10.1016/j.jbi.2021.103768
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2021
Tipo de publicación: Journal Publications
Repositori URV