A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Maria Alejandra Ruiz Cuartas; Luis Felipe Reyes Velasco; Yuli Viviana Fuentes Barreiro; Cristian Camilo Serrano Mayorga; Javier Esteban Garcia Gallo; Alejandro Rodriguez

doi:10.1007/s10096-020-03870-3

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Maria Alejandra Ruiz Cuartas (undergradstudent)
, Luis Felipe Reyes Velasco (Correspondent Author)
, Yuli Viviana Fuentes Barreiro (Another Number Author)
, Cristian Camilo Serrano Mayorga (Another Number Author)
, Javier Esteban Garcia Gallo (Second Author)
, Alejandro Rodriguez (Another Number Author)

Semillero - Translational Science in Infectious Diseases and Critical Care Medicine (TS ID/CCM)
Grupo de Investigación en Translational Science in Infectious Diseases and Critical Care Medicine (TS ID/CCM

universidad de tarragona

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Translated title of the contribution	A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables
Original language	Undefined/Unknown
Pages (from-to)	1-10
Number of pages	9
Journal	ERJ Open Research
DOIs	https://doi.org/10.1007/s10096-020-03870-3
State	Published - 29 Apr 2022

Article Classification

Full research article

Indexación Internacional (Artículo)

ISI Y SCOPUS

Scopus-Q Quartil

Q2

ISI- Q Quartil

Q2

Categoría Publindex

B

Access to Document

10.1007/s10096-020-03870-3License: CC BY-ND

https://openres.ersjournals.com/content/8/2/00010-2022License: CC BY-ND

Cite this

@article{019b6c9f47ce4d2cb1278d3ca8fba311,

title = "A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables",

author = "\{Ruiz Cuartas\}, \{Maria Alejandra\} and \{Reyes Velasco\}, \{Luis Felipe\} and \{Fuentes Barreiro\}, \{Yuli Viviana\} and \{Serrano Mayorga\}, \{Cristian Camilo\} and \{Garcia Gallo\}, \{Javier Esteban\} and Alejandro Rodriguez",

year = "2022",

month = apr,

day = "29",

doi = "10.1007/s10096-020-03870-3",

language = "Indefinido/desconocido",

pages = "1--10",

journal = "ERJ Open Research",

issn = "2312-0541",

publisher = "European Respiratory Society",

}

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables. / Ruiz Cuartas, Maria Alejandra (undergradstudent); Reyes Velasco, Luis Felipe (Correspondent Author); Fuentes Barreiro, Yuli Viviana (Another Number Author) et al.
In: ERJ Open Research, 29.04.2022, p. 1-10.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

AU - Reyes Velasco, Luis Felipe

AU - Fuentes Barreiro, Yuli Viviana

AU - Serrano Mayorga, Cristian Camilo

AU - Garcia Gallo, Javier Esteban

AU - Rodriguez, Alejandro

A2 - Ruiz Cuartas, Maria Alejandra

PY - 2022/4/29

Y1 - 2022/4/29

UR - https://www.scopus.com/sourceid/21100782250

U2 - 10.1007/s10096-020-03870-3

DO - 10.1007/s10096-020-03870-3

M3 - Artículo

SN - 2312-0541

SP - 1

EP - 10

JO - ERJ Open Research

JF - ERJ Open Research

ER -

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Article Classification

Indexación Internacional (Artículo)

Scopus-Q Quartil

ISI- Q Quartil

Categoría Publindex

Access to Document

Other files and links

Data Descriptor, Reference Coding And Characterization Of The Systemic Complications Of Critical Care Patients Included In The Isaric Covid-19 Dataset: One Of The Largest, Freely Accessible Covid-19 Datasets

Cite this

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm tointerpret chest X-Rays and clinical variables

Article Classification

Indexación Internacional (Artículo)

Scopus-Q Quartil

ISI- Q Quartil

Categoría Publindex

Access to Document

Other files and links

Projects

Data Descriptor, Reference Coding And Characterization Of The Systemic Complications Of Critical Care Patients Included In The Isaric Covid-19 Dataset: One Of The Largest, Freely Accessible Covid-19 Datasets

Cite this