Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Autores principales:	Junfeng Peng, Chuan Chen, Mi Zhou, Xiaohua Xie, Yuqi Zhou, Ching-Hsing Luo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/48a55e7e9992422bb2a5a00ea9258ae9
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spelling	oai:doaj.org-article:48a55e7e9992422bb2a5a00ea9258ae92021-12-02T15:53:59ZAuthor Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators10.1038/s41598-020-76434-22045-2322https://doaj.org/article/48a55e7e9992422bb2a5a00ea9258ae92021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-76434-2https://doaj.org/toc/2045-2322An amendment to this paper has been published and can be accessed via a link at the top of the paper.Junfeng PengChuan ChenMi ZhouXiaohua XieYuqi ZhouChing-Hsing LuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Junfeng Peng Chuan Chen Mi Zhou Xiaohua Xie Yuqi Zhou Ching-Hsing Luo Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
description	An amendment to this paper has been published and can be accessed via a link at the top of the paper.
format	article
author	Junfeng Peng Chuan Chen Mi Zhou Xiaohua Xie Yuqi Zhou Ching-Hsing Luo
author_facet	Junfeng Peng Chuan Chen Mi Zhou Xiaohua Xie Yuqi Zhou Ching-Hsing Luo
author_sort	Junfeng Peng
title	Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
title_short	Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
title_full	Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
title_fullStr	Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
title_full_unstemmed	Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators
title_sort	author correction: a machine-learning approach to forecast aggravation risk in patients with acute exacerbation of chronic obstructive pulmonary disease with clinical indicators
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/48a55e7e9992422bb2a5a00ea9258ae9
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Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators

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