Autor segons l'article: Cuadrado, David; Riano, David; Gomez, Josep; Rodriguez, Alejandro; Bodi, Maria;
Departament: Enginyeria Informàtica i Matemàtiques Bioquímica i Biotecnologia
Autor/s de la URV: Bodi Saera, Maria Amparo / Cuadrado Gomez, David / Gómez Alvarez, Josep / Riaño Ramos, David
Paraules clau: 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
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: josep.gomez@urv.cat mariaamparo.bodi@urv.cat mariaamparo.bodi@urv.cat david.cuadrado@estudiants.urv.cat
Identificador de l'autor: 0000-0002-0573-7621 0000-0001-7652-8379 0000-0001-7652-8379
Data d'alta del registre: 2024-01-13
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S1532046421000976?via%3Dihub
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Journal Of Biomedical Informatics. 117 (103768):
Referència 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), -. DOI: 10.1016/j.jbi.2021.103768
DOI de l'article: 10.1016/j.jbi.2021.103768
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2021
Tipus de publicació: Journal Publications
Repositori URV