Cargando…
Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study”
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414340/ http://dx.doi.org/10.2196/34081 |
_version_ | 1785087316789821440 |
---|---|
author | Doyle, Riccardo |
author_facet | Doyle, Riccardo |
author_sort | Doyle, Riccardo |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10414340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104143402023-09-12 Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” Doyle, Riccardo JMIRx Med Authors’ Response to Peer Reviews JMIR Publications 2021-10-15 /pmc/articles/PMC10414340/ http://dx.doi.org/10.2196/34081 Text en ©Riccardo Doyle. Originally published in JMIRx Med (https://med.jmirx.org), 15.10.2021. 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 JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included. |
spellingShingle | Authors’ Response to Peer Reviews Doyle, Riccardo Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title | Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title_full | Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title_fullStr | Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title_full_unstemmed | Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title_short | Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study” |
title_sort | author’s response to peer reviews of “machine learning–based prediction of covid-19 mortality with limited attributes to expedite patient prognosis and triage: retrospective observational study” |
topic | Authors’ Response to Peer Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414340/ http://dx.doi.org/10.2196/34081 |
work_keys_str_mv | AT doylericcardo authorsresponsetopeerreviewsofmachinelearningbasedpredictionofcovid19mortalitywithlimitedattributestoexpeditepatientprognosisandtriageretrospectiveobservationalstudy |