Author, as appears in the article.: Cuadrado, David; Riano, David; Gomez, Josep; Rodriguez, Alejandro; Bodi, Maria;
Department: Enginyeria Informàtica i Matemàtiques Bioquímica i Biotecnologia
URV's Author/s: Bodi Saera, Maria Amparo / Cuadrado Gomez, David / Gómez Alvarez, Josep / Riaño Ramos, David
Keywords: 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
Abstract: 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.
Thematic Areas: 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
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: josep.gomez@urv.cat david.cuadrado@estudiants.urv.cat mariaamparo.bodi@urv.cat mariaamparo.bodi@urv.cat
Author identifier: 0000-0002-0573-7621 0000-0001-7652-8379 0000-0001-7652-8379
Record's date: 2024-07-27
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S1532046421000976?via%3Dihub
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Journal Of Biomedical Informatics. 117 (103768):
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
Article's DOI: 10.1016/j.jbi.2021.103768
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV