Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”

Detalles Bibliográficos
Autores principales: Izquierdo, Jose Luis, Soriano, Joan B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190644/
https://www.ncbi.nlm.nih.gov/pubmed/33989164
http://dx.doi.org/10.2196/29405
_version_ 1783705727948292096
author Izquierdo, Jose Luis
Soriano, Joan B
author_facet Izquierdo, Jose Luis
Soriano, Joan B
author_sort Izquierdo, Jose Luis
collection PubMed
description
format Online
Article
Text
id pubmed-8190644
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-81906442021-06-28 Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing” Izquierdo, Jose Luis Soriano, Joan B J Med Internet Res Letter to the Editor JMIR Publications 2021-05-26 /pmc/articles/PMC8190644/ /pubmed/33989164 http://dx.doi.org/10.2196/29405 Text en ©Jose Luis Izquierdo, Joan B Soriano. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.05.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Letter to the Editor
Izquierdo, Jose Luis
Soriano, Joan B
Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title_full Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title_fullStr Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title_full_unstemmed Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title_short Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
title_sort authors’ reply to: minimizing selection and classification biases comment on “clinical characteristics and prognostic factors for intensive care unit admission of patients with covid-19: retrospective study using machine learning and natural language processing”
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190644/
https://www.ncbi.nlm.nih.gov/pubmed/33989164
http://dx.doi.org/10.2196/29405
work_keys_str_mv AT izquierdojoseluis authorsreplytominimizingselectionandclassificationbiasescommentonclinicalcharacteristicsandprognosticfactorsforintensivecareunitadmissionofpatientswithcovid19retrospectivestudyusingmachinelearningandnaturallanguageprocessing
AT sorianojoanb authorsreplytominimizingselectionandclassificationbiasescommentonclinicalcharacteristicsandprognosticfactorsforintensivecareunitadmissionofpatientswithcovid19retrospectivestudyusingmachinelearningandnaturallanguageprocessing

Ejemplares similares